{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 在 Rental Listing Inquiries 数据上练习分类方法\n",
    "\n",
    "利用 Logistic 回归和 SVM 分类计数实现 Rental Listing Inquiries 数据的感兴趣程 度预测。\n",
    "1. 对数据做数据探索分析\n",
    "2. 适当的数据清洗(异常值处理)\n",
    "3. 适当的特征工程\n",
    "4. 用 Logistic 回归模型对公寓感兴趣程度进行预测，注意正则超参数的调优。\n",
    "5. 用 RBF 的 SVM 对公寓感兴趣程度进行预测，注意正则超参数和核函数参数\n",
    "的调优。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from pandas.io.json import json_normalize\n",
    "import json\n",
    "\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "from sklearn.metrics import log_loss  \n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 数据探索"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 导入数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>building_id</th>\n",
       "      <th>created</th>\n",
       "      <th>description</th>\n",
       "      <th>display_address</th>\n",
       "      <th>features</th>\n",
       "      <th>interest_level</th>\n",
       "      <th>latitude</th>\n",
       "      <th>listing_id</th>\n",
       "      <th>longitude</th>\n",
       "      <th>manager_id</th>\n",
       "      <th>photos</th>\n",
       "      <th>price</th>\n",
       "      <th>street_address</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1.5</td>\n",
       "      <td>3</td>\n",
       "      <td>53a5b119ba8f7b61d4e010512e0dfc85</td>\n",
       "      <td>2016-06-24 07:54:24</td>\n",
       "      <td>A Brand New 3 Bedroom 1.5 bath ApartmentEnjoy ...</td>\n",
       "      <td>Metropolitan Avenue</td>\n",
       "      <td>[]</td>\n",
       "      <td>medium</td>\n",
       "      <td>40.7145</td>\n",
       "      <td>7211212</td>\n",
       "      <td>-73.9425</td>\n",
       "      <td>5ba989232d0489da1b5f2c45f6688adc</td>\n",
       "      <td>[https://photos.renthop.com/2/7211212_1ed4542e...</td>\n",
       "      <td>3000</td>\n",
       "      <td>792 Metropolitan Avenue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10000</th>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>c5c8a357cba207596b04d1afd1e4f130</td>\n",
       "      <td>2016-06-12 12:19:27</td>\n",
       "      <td></td>\n",
       "      <td>Columbus Avenue</td>\n",
       "      <td>[Doorman, Elevator, Fitness Center, Cats Allow...</td>\n",
       "      <td>low</td>\n",
       "      <td>40.7947</td>\n",
       "      <td>7150865</td>\n",
       "      <td>-73.9667</td>\n",
       "      <td>7533621a882f71e25173b27e3139d83d</td>\n",
       "      <td>[https://photos.renthop.com/2/7150865_be3306c5...</td>\n",
       "      <td>5465</td>\n",
       "      <td>808 Columbus Avenue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100004</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>c3ba40552e2120b0acfc3cb5730bb2aa</td>\n",
       "      <td>2016-04-17 03:26:41</td>\n",
       "      <td>Top Top West Village location, beautiful Pre-w...</td>\n",
       "      <td>W 13 Street</td>\n",
       "      <td>[Laundry In Building, Dishwasher, Hardwood Flo...</td>\n",
       "      <td>high</td>\n",
       "      <td>40.7388</td>\n",
       "      <td>6887163</td>\n",
       "      <td>-74.0018</td>\n",
       "      <td>d9039c43983f6e564b1482b273bd7b01</td>\n",
       "      <td>[https://photos.renthop.com/2/6887163_de85c427...</td>\n",
       "      <td>2850</td>\n",
       "      <td>241 W 13 Street</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100007</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>28d9ad350afeaab8027513a3e52ac8d5</td>\n",
       "      <td>2016-04-18 02:22:02</td>\n",
       "      <td>Building Amenities - Garage - Garden - fitness...</td>\n",
       "      <td>East 49th Street</td>\n",
       "      <td>[Hardwood Floors, No Fee]</td>\n",
       "      <td>low</td>\n",
       "      <td>40.7539</td>\n",
       "      <td>6888711</td>\n",
       "      <td>-73.9677</td>\n",
       "      <td>1067e078446a7897d2da493d2f741316</td>\n",
       "      <td>[https://photos.renthop.com/2/6888711_6e660cee...</td>\n",
       "      <td>3275</td>\n",
       "      <td>333 East 49th Street</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100013</th>\n",
       "      <td>1.0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>2016-04-28 01:32:41</td>\n",
       "      <td>Beautifully renovated 3 bedroom flex 4 bedroom...</td>\n",
       "      <td>West 143rd Street</td>\n",
       "      <td>[Pre-War]</td>\n",
       "      <td>low</td>\n",
       "      <td>40.8241</td>\n",
       "      <td>6934781</td>\n",
       "      <td>-73.9493</td>\n",
       "      <td>98e13ad4b495b9613cef886d79a6291f</td>\n",
       "      <td>[https://photos.renthop.com/2/6934781_1fa4b41a...</td>\n",
       "      <td>3350</td>\n",
       "      <td>500 West 143rd Street</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        bathrooms  bedrooms                       building_id  \\\n",
       "10            1.5         3  53a5b119ba8f7b61d4e010512e0dfc85   \n",
       "10000         1.0         2  c5c8a357cba207596b04d1afd1e4f130   \n",
       "100004        1.0         1  c3ba40552e2120b0acfc3cb5730bb2aa   \n",
       "100007        1.0         1  28d9ad350afeaab8027513a3e52ac8d5   \n",
       "100013        1.0         4                                 0   \n",
       "\n",
       "                    created  \\\n",
       "10      2016-06-24 07:54:24   \n",
       "10000   2016-06-12 12:19:27   \n",
       "100004  2016-04-17 03:26:41   \n",
       "100007  2016-04-18 02:22:02   \n",
       "100013  2016-04-28 01:32:41   \n",
       "\n",
       "                                              description  \\\n",
       "10      A Brand New 3 Bedroom 1.5 bath ApartmentEnjoy ...   \n",
       "10000                                                       \n",
       "100004  Top Top West Village location, beautiful Pre-w...   \n",
       "100007  Building Amenities - Garage - Garden - fitness...   \n",
       "100013  Beautifully renovated 3 bedroom flex 4 bedroom...   \n",
       "\n",
       "            display_address  \\\n",
       "10      Metropolitan Avenue   \n",
       "10000       Columbus Avenue   \n",
       "100004          W 13 Street   \n",
       "100007     East 49th Street   \n",
       "100013    West 143rd Street   \n",
       "\n",
       "                                                 features interest_level  \\\n",
       "10                                                     []         medium   \n",
       "10000   [Doorman, Elevator, Fitness Center, Cats Allow...            low   \n",
       "100004  [Laundry In Building, Dishwasher, Hardwood Flo...           high   \n",
       "100007                          [Hardwood Floors, No Fee]            low   \n",
       "100013                                          [Pre-War]            low   \n",
       "\n",
       "        latitude  listing_id  longitude                        manager_id  \\\n",
       "10       40.7145     7211212   -73.9425  5ba989232d0489da1b5f2c45f6688adc   \n",
       "10000    40.7947     7150865   -73.9667  7533621a882f71e25173b27e3139d83d   \n",
       "100004   40.7388     6887163   -74.0018  d9039c43983f6e564b1482b273bd7b01   \n",
       "100007   40.7539     6888711   -73.9677  1067e078446a7897d2da493d2f741316   \n",
       "100013   40.8241     6934781   -73.9493  98e13ad4b495b9613cef886d79a6291f   \n",
       "\n",
       "                                                   photos  price  \\\n",
       "10      [https://photos.renthop.com/2/7211212_1ed4542e...   3000   \n",
       "10000   [https://photos.renthop.com/2/7150865_be3306c5...   5465   \n",
       "100004  [https://photos.renthop.com/2/6887163_de85c427...   2850   \n",
       "100007  [https://photos.renthop.com/2/6888711_6e660cee...   3275   \n",
       "100013  [https://photos.renthop.com/2/6934781_1fa4b41a...   3350   \n",
       "\n",
       "                 street_address  \n",
       "10      792 Metropolitan Avenue  \n",
       "10000       808 Columbus Avenue  \n",
       "100004          241 W 13 Street  \n",
       "100007     333 East 49th Street  \n",
       "100013    500 West 143rd Street  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train = pd.read_json(\"/Users/admin/Desktop/day02/week2data_RentListingInquries/RentListingInquries_train.json\")\n",
    "test = pd.read_json(\"/Users/admin/Desktop/day02/week2data_RentListingInquries/RentListingInquries_test.json\")\n",
    "train.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "以上可知：\n",
    "- 数值型：bathrooms、 bedrooms、price\n",
    "- 时间型：created\n",
    "- 地理位置：latitude、longitude\n",
    "- 文本：description\n",
    "- id型特征：listing_id、manager_id、building_id\n",
    "- 其他还有：photos、display_address、street_address"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(49352, 15)\n",
      "(74659, 14)\n"
     ]
    }
   ],
   "source": [
    "print(train.shape)\n",
    "print(test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 49352 entries, 10 to 99994\n",
      "Data columns (total 15 columns):\n",
      "bathrooms          49352 non-null float64\n",
      "bedrooms           49352 non-null int64\n",
      "building_id        49352 non-null object\n",
      "created            49352 non-null object\n",
      "description        49352 non-null object\n",
      "display_address    49352 non-null object\n",
      "features           49352 non-null object\n",
      "interest_level     49352 non-null object\n",
      "latitude           49352 non-null float64\n",
      "listing_id         49352 non-null int64\n",
      "longitude          49352 non-null float64\n",
      "manager_id         49352 non-null object\n",
      "photos             49352 non-null object\n",
      "price              49352 non-null int64\n",
      "street_address     49352 non-null object\n",
      "dtypes: float64(3), int64(3), object(9)\n",
      "memory usage: 6.0+ MB\n"
     ]
    }
   ],
   "source": [
    "train.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.isnull().sum().max() "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "没有发现缺失值"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 目标变量interest_level"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a34b7f4e0>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZUAAAELCAYAAAARNxsIAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAGQpJREFUeJzt3X20XXV95/H3h/DYqgXk6iDBhtHMUnQ06hWoWJdPCwIzY9CKwtSSUlajDviwWjuiaxZYlLXqssqIRdbgGIGOFagPQ8aJxgxiEcpDgoZAQFZugUqEQjCgoC0U/M4f53flEE5yL2Gfe3KT92uts87e3/3b+/w2Z10+2Xv/zt6pKiRJ6sIuo+6AJGnHYahIkjpjqEiSOmOoSJI6Y6hIkjpjqEiSOmOoSJI6Y6hIkjpjqEiSOrPrqDsw0/bbb7+aN2/eqLshSbPK9ddff19VjU3VbqcLlXnz5rF69epRd0OSZpUk/ziddp7+kiR1ZmihkmTPJNcluSHJuiR/3urnJ7k9yZr2WtDqSXJ2kokka5O8sm9bi5Osb6/FffVXJbmxrXN2kgxrfyRJUxvm6a+HgTdW1UNJdgOuTPKttuzPquqrm7U/CpjfXocC5wKHJtkXOB0YBwq4Psmyqrq/tVkCXAMsBxYC30KSNBJDO1Kpnofa7G7ttbX77C8CLmzrXQPsnWR/4EhgZVVtakGyEljYlj2rqq6u3v37LwSOGdb+SJKmNtRrKknmJFkD3EsvGK5ti85sp7jOSrJHqx0A3Nm3+oZW21p9w4D6oH4sSbI6yeqNGzc+7f2SJA021FCpqseqagEwFzgkyUuBjwAvAl4N7At8uDUfdD2ktqE+qB/nVdV4VY2PjU05Ik6StI1mZPRXVT0AfA9YWFV3t1NcDwNfAg5pzTYAB/atNhe4a4r63AF1SdKIDHP011iSvdv0XsCbgR+1ayG0kVrHADe1VZYBJ7RRYIcBP6uqu4EVwBFJ9kmyD3AEsKItezDJYW1bJwCXDmt/JElTG+bor/2BC5LMoRdel1TVN5N8N8kYvdNXa4D3tPbLgaOBCeCXwIkAVbUpyceBVa3dGVW1qU2/Fzgf2IveqC9HfknSCKU3cGrnMT4+Xv6ifsf34zP+/ai7sFN4/mk3jroLmiFJrq+q8ana+Yt6SVJnDBVJUmcMFUlSZwwVSVJnDBVJUmcMFUlSZwwVSVJnDBVJUmcMFUlSZwwVSVJnDBVJUmcMFUlSZwwVSVJnDBVJUmcMFUlSZwwVSVJnDBVJUmcMFUlSZwwVSVJnDBVJUmcMFUlSZ4YWKkn2THJdkhuSrEvy561+UJJrk6xPcnGS3Vt9jzY/0ZbP69vWR1r91iRH9tUXttpEklOHtS+SpOkZ5pHKw8Abq+rlwAJgYZLDgE8CZ1XVfOB+4KTW/iTg/qp6IXBWa0eSg4HjgJcAC4HPJ5mTZA5wDnAUcDBwfGsrSRqRoYVK9TzUZndrrwLeCHy11S8AjmnTi9o8bfmbkqTVL6qqh6vqdmACOKS9Jqrqtqp6BLiotZUkjchQr6m0I4o1wL3ASuAfgAeq6tHWZANwQJs+ALgToC3/GfDs/vpm62ypLkkakaGGSlU9VlULgLn0jixePKhZe88Wlj3V+pMkWZJkdZLVGzdunLrjkqRtMiOjv6rqAeB7wGHA3kl2bYvmAne16Q3AgQBt+W8Bm/rrm62zpfqgzz+vqsaranxsbKyLXZIkDTDM0V9jSfZu03sBbwZuAS4H3t6aLQYubdPL2jxt+Xerqlr9uDY67CBgPnAdsAqY30aT7U7vYv6yYe2PJGlqu07dZJvtD1zQRmntAlxSVd9McjNwUZJPAD8EvtjafxH46yQT9I5QjgOoqnVJLgFuBh4FTq6qxwCSnAKsAOYAS6tq3RD3R5I0haGFSlWtBV4xoH4bvesrm9f/BTh2C9s6EzhzQH05sPxpd1aS1Al/US9J6oyhIknqjKEiSeqMoSJJ6oyhIknqjKEiSeqMoSJJ6oyhIknqjKEiSeqMoSJJ6oyhIknqjKEiSeqMoSJJ6oyhIknqjKEiSeqMoSJJ6oyhIknqjKEiSeqMoSJJ6oyhIknqjKEiSerM0EIlyYFJLk9yS5J1ST7Q6h9L8pMka9rr6L51PpJkIsmtSY7sqy9stYkkp/bVD0pybZL1SS5Osvuw9keSNLVhHqk8CvxpVb0YOAw4OcnBbdlZVbWgvZYDtGXHAS8BFgKfTzInyRzgHOAo4GDg+L7tfLJtaz5wP3DSEPdHkjSFoYVKVd1dVT9o0w8CtwAHbGWVRcBFVfVwVd0OTACHtNdEVd1WVY8AFwGLkgR4I/DVtv4FwDHD2RtJ0nTMyDWVJPOAVwDXttIpSdYmWZpkn1Y7ALizb7UNrbal+rOBB6rq0c3qkqQRGXqoJHkG8DXgg1X1c+Bc4AXAAuBu4NOTTQesXttQH9SHJUlWJ1m9cePGp7gHkqTpGmqoJNmNXqB8uaq+DlBV91TVY1X1K+AL9E5vQe9I48C+1ecCd22lfh+wd5JdN6s/SVWdV1XjVTU+NjbWzc5Jkp5kmKO/AnwRuKWqPtNX37+v2VuBm9r0MuC4JHskOQiYD1wHrALmt5Feu9O7mL+sqgq4HHh7W38xcOmw9keSNLVdp26yzQ4H/gC4McmaVvsovdFbC+idqroDeDdAVa1LcglwM72RYydX1WMASU4BVgBzgKVVta5t78PARUk+AfyQXohJkkZkaKFSVVcy+LrH8q2scyZw5oD68kHrVdVtPH76TJI0Yv6iXpLUGUNFktQZQ0WS1BlDRZLUGUNFktQZQ0WS1BlDRZLUGUNFktQZQ0WS1BlDRZLUGUNFktQZQ0WS1BlDRZLUGUNFktQZQ0WS1BlDRZLUGUNFktQZQ0WS1BlDRZLUGUNFktQZQ0WS1JmhhUqSA5NcnuSWJOuSfKDV902yMsn69r5PqyfJ2UkmkqxN8sq+bS1u7dcnWdxXf1WSG9s6ZyfJsPZHkjS1YR6pPAr8aVW9GDgMODnJwcCpwGVVNR+4rM0DHAXMb68lwLnQCyHgdOBQ4BDg9Mkgam2W9K23cIj7I0mawtBCparurqoftOkHgVuAA4BFwAWt2QXAMW16EXBh9VwD7J1kf+BIYGVVbaqq+4GVwMK27FlVdXVVFXBh37YkSSMwI9dUkswDXgFcCzy3qu6GXvAAz2nNDgDu7FttQ6ttrb5hQF2SNCLTCpUkl02ntoV1nwF8DfhgVf18a00H1Gob6oP6sCTJ6iSrN27cOFWXJUnbaKuhkmTPdk1jvyT7tIvs+7Yjj+dNtfEku9ELlC9X1ddb+Z526or2fm+rbwAO7Ft9LnDXFPW5A+pPUlXnVdV4VY2PjY1N1W1J0jaa6kjl3cD1wIva++TrUuCcra3YRmJ9Ebilqj7Tt2gZMDmCa3Hb1mT9hDYK7DDgZ+302ArgiBZq+wBHACvasgeTHNY+64S+bUmSRmDXrS2sqs8Cn03yvqr63FPc9uHAHwA3JlnTah8F/gK4JMlJwI+BY9uy5cDRwATwS+DE1odNST4OrGrtzqiqTW36vcD5wF7At9pLkjQiWw2VSVX1uSSvAeb1r1NVF25lnSsZfN0D4E0D2hdw8ha2tRRYOqC+Gnjp1vouSZo50wqVJH8NvABYAzzWypPDeCVJAqYZKsA4cHA7mpAkaaDp/k7lJuDfDLMjkqTZb7pHKvsBNye5Dnh4slhVbxlKryRJs9J0Q+Vjw+yEJGnHMN3RX3837I5Ikma/6Y7+epDHb4GyO7Ab8IuqetawOiZJmn2me6TyzP75JMfQuw29JEm/tk13Ka6q/w28seO+SJJmueme/npb3+wu9H634m9WJElPMN3RX/+pb/pR4A56D9WSJOnXpntN5cRhd0SSNPtN9yFdc5N8I8m9Se5J8rUkc6deU5K0M5nuhfov0XveyfPoPbL3/7SaJEm/Nt1QGauqL1XVo+11PuAjFCVJTzDdULkvybuSzGmvdwE/HWbHJEmzz3RD5Y+AdwD/BNwNvJ32ZEZJkiZNd0jxx4HFVXU/QJJ9gb+kFzaSJAHTP1J52WSgQO+58cArhtMlSdJsNd1Q2SXJPpMz7Uhlukc5kqSdxHSD4dPA3yf5Kr3bs7wDOHNovZIkzUrT/UX9hUlW07uJZIC3VdXNQ+2ZJGnWmfZdiqvq5qr6q6r63HQCJcnS9gv8m/pqH0vykyRr2uvovmUfSTKR5NYkR/bVF7baRJJT++oHJbk2yfokFyfZfbr7Ikkajm269f00nQ8sHFA/q6oWtNdygCQHA8cBL2nrfH7yNzHAOcBRwMHA8a0twCfbtuYD9wMnDXFfJEnTMLRQqaorgE3TbL4IuKiqHq6q24EJeg8BOwSYqKrbquoR4CJgUZLQOxX31bb+BcAxne6AJOkpG+aRypackmRtOz02OaLsAODOvjYbWm1L9WcDD1TVo5vVB0qyJMnqJKs3btzY1X5IkjYz06FyLvACYAG9X+Z/utUzoG1tQ32gqjqvqsaranxszFuWSdKwzOhvTarqnsnpJF8AvtlmNwAH9jWdC9zVpgfV7wP2TrJrO1rpby9JGpEZPVJJsn/f7FuByZFhy4DjkuyR5CBgPnAdsAqY30Z67U7vYv6yqirgcnr3IANYDFw6E/sgSdqyoR2pJPkK8HpgvyQbgNOB1ydZQO9U1R3AuwGqal2SS4Cb6T2u+OSqeqxt5xRgBTAHWFpV69pHfBi4KMkngB8CXxzWvkiSpmdooVJVxw8ob/F//FV1JgN+pd+GHS8fUL+N3ugwSdJ2YhSjvyRJOyhDRZLUGUNFktQZQ0WS1BlDRZLUGUNFktQZQ0WS1BlDRZLUGUNFktQZQ0WS1BlDRZLUGUNFktQZQ0WS1BlDRZLUGUNFktQZQ0WS1BlDRZLUmaE9+XFH8Ko/u3DUXdjhXf+pE0bdBUkd8khFktQZQ0WS1BlDRZLUmaGFSpKlSe5NclNfbd8kK5Osb+/7tHqSnJ1kIsnaJK/sW2dxa78+yeK++quS3NjWOTtJhrUvkqTpGeaRyvnAws1qpwKXVdV84LI2D3AUML+9lgDnQi+EgNOBQ4FDgNMng6i1WdK33uafJUmaYUMLlaq6Ati0WXkRcEGbvgA4pq9+YfVcA+ydZH/gSGBlVW2qqvuBlcDCtuxZVXV1VRVwYd+2JEkjMtPXVJ5bVXcDtPfntPoBwJ197Ta02tbqGwbUB0qyJMnqJKs3btz4tHdCkjTY9nKhftD1kNqG+kBVdV5VjVfV+NjY2DZ2UZI0lZkOlXvaqSva+72tvgE4sK/dXOCuKepzB9QlSSM006GyDJgcwbUYuLSvfkIbBXYY8LN2emwFcESSfdoF+iOAFW3Zg0kOa6O+TujbliRpRIZ2m5YkXwFeD+yXZAO9UVx/AVyS5CTgx8Cxrfly4GhgAvglcCJAVW1K8nFgVWt3RlVNXvx/L70RZnsB32ovSdIIDS1Uqur4LSx604C2BZy8he0sBZYOqK8GXvp0+ihJ6tb2cqFekrQDMFQkSZ0xVCRJnTFUJEmdMVQkSZ0xVCRJnTFUJEmdMVQkSZ0xVCRJnTFUJEmdMVQkSZ0xVCRJnTFUJEmdMVQkSZ0xVCRJnTFUJEmdMVQkSZ0xVCRJnTFUJEmdMVQkSZ0xVCRJnRlJqCS5I8mNSdYkWd1q+yZZmWR9e9+n1ZPk7CQTSdYmeWXfdha39uuTLB7FvkiSHjfKI5U3VNWCqhpv86cCl1XVfOCyNg9wFDC/vZYA50IvhIDTgUOBQ4DTJ4NIkjQa29Ppr0XABW36AuCYvvqF1XMNsHeS/YEjgZVVtamq7gdWAgtnutOSpMeNKlQK+E6S65MsabXnVtXdAO39Oa1+AHBn37obWm1LdUnSiOw6os89vKruSvIcYGWSH22lbQbUaiv1J2+gF1xLAJ7//Oc/1b5KkqZpJEcqVXVXe78X+Aa9ayL3tNNatPd7W/MNwIF9q88F7tpKfdDnnVdV41U1PjY21uWuSJL6zHioJPnNJM+cnAaOAG4ClgGTI7gWA5e26WXACW0U2GHAz9rpsRXAEUn2aRfoj2g1SdKIjOL013OBbySZ/Py/qapvJ1kFXJLkJODHwLGt/XLgaGAC+CVwIkBVbUrycWBVa3dGVW2aud2QJG1uxkOlqm4DXj6g/lPgTQPqBZy8hW0tBZZ23UdJ0rbZnoYUS5JmOUNFktSZUQ0plqQtOvxzh4+6Czu8q9531VC265GKJKkzhookqTOGiiSpM4aKJKkzhookqTOGiiSpM4aKJKkzhookqTOGiiSpM4aKJKkzhookqTOGiiSpM4aKJKkzhookqTOGiiSpM4aKJKkzhookqTOGiiSpM7M+VJIsTHJrkokkp466P5K0M5vVoZJkDnAOcBRwMHB8koNH2ytJ2nnN6lABDgEmquq2qnoEuAhYNOI+SdJOa7aHygHAnX3zG1pNkjQCu466A09TBtTqSY2SJcCSNvtQkluH2qvR2g+4b9SdmK785eJRd2F7Mqu+OwBOH/QnuNOaVd9f3v+Uv7vfnk6j2R4qG4AD++bnAndt3qiqzgPOm6lOjVKS1VU1Pup+6Knzu5vd/P56Zvvpr1XA/CQHJdkdOA5YNuI+SdJOa1YfqVTVo0lOAVYAc4ClVbVuxN2SpJ3WrA4VgKpaDiwfdT+2IzvFab4dlN/d7Ob3B6TqSde1JUnaJrP9mookaTtiqOxAknwvyXibXp5k71H3SU+U5KFR90FPTZJ5SW4aUD8jyZunWPdjST40vN5tf2b9NRUNVlVHj7oP0o6sqk4bdR+2Rx6pjFj7V9CPkvzPJDcl+XKSNye5Ksn6JIck+c0kS5OsSvLDJIvaunsluSjJ2iQXA3v1bfeOJPtt/q+sJB9K8rE2/b0kZyW5IsktSV6d5Ovtcz8x0/8tdibp+VT7zm9M8s5W/3ySt7TpbyRZ2qZP8jsZqTlJvpBkXZLvtL+985O8HSDJ0e3v+MokZyf5Zt+6B7e/tduSvH9E/Z8xHqlsH14IHEvvV/+rgP8MvBZ4C/BR4Gbgu1X1R+2U1nVJ/h/wbuCXVfWyJC8DfrANn/1IVb0uyQeAS4FXAZuAf0hyVlX99OnunAZ6G7AAeDm9X2KvSnIFcAXwu/R+b3UAsH9r/1p697bTaMwHjq+qP05yCfB7kwuS7An8D+B1VXV7kq9stu6LgDcAzwRuTXJuVf3rTHV8pnmksn24vapurKpfAeuAy6o3LO9GYB5wBHBqkjXA94A9gecDrwP+F0BVrQXWbsNnT/5Y9EZgXVXdXVUPA7fxxLsVqFuvBb5SVY9V1T3A3wGvBr4P/G672/bNwD1J9gd+B/j7kfVWt1fVmjZ9Pb2/y0kvAm6rqtvb/Oah8n+r6uGqug+4F3juUHs6Yh6pbB8e7pv+Vd/8r+h9R48Bv1dVT7hnWRIYcK+zzTzKE//xsOcWPrv/c/s/W8Mx8MZLVfWTJPsAC+kdtewLvAN4qKoenMH+6Yn6/zYeo+9UM1v4Lrey7g79d+WRyuywAnhfWookeUWrXwH8fqu9FHjZgHXvAZ6T5NlJ9gD+4wz0V1O7AnhnkjlJxugddV7Xll0NfLC1+T7wofau7dOPgH+bZF6bf+foujJ6O3Ri7kA+Dvx3YG0LljvohcO5wJeSrAXW8Pj/lH6tqv41yRnAtcDt9P4ANHrfoHdK6wZ6R5v/tar+qS37PnBEVU0k+Ud6RyuGynaqqv45yX8Bvp3kPgb8He5M/EW9JD1NSZ5RVQ+1f/SdA6yvqrNG3a9R8PSXJD19f9wG0qwDfoveaLCdkkcqkqTOeKQiSeqMoSJJ6oyhIknqjKEiSeqMoSIBSaa8BUqSDyb5jSH3Y0GSrd5hOskfJvmrjj+3821q52SoSEBVvWYazT4IPKVQSTLnKXZlAeBjCzRrGSoSjz88K8nr223Kv9puZf7ldpv69wPPAy5Pcnlre0SSq5P8IMnfJnlGq9+R5LQkVwLHJnlBkm8nuT7J95O8qLU7tt36/ob2+IHdgTPo3b5lzeTt8Kfo91iSr7XHIqxKcniSXVof9u5rN5HkuYPad/4fUzs1b9MiPdkrgJcAdwFXAYdX1dlJ/gR4Q1Xdl2Q/4L8Bb66qXyT5MPAn9EIB4F+q6rUASS4D3lNV65McCnweeCNwGnBku4nk3lX1SJLTgPGqOmWaff0scFZVXZnk+cCKqnpxkkuBt9K7jc+hwB1VdU+Sv9m8PfDip/nfS/o1Q0V6suuqagNA+5X0PODKzdocBhwMXNXu87k7vRtBTrq4rf8M4DXA37Z2AHu096uA89vzOb6+jX19M72HQE3OPyvJM9vnnwZ8CThusj9baS91wlCRnmw6tyoPsLKqjt/CNn7R3ncBHqiqBZs3qKr3tKOI/wCsSfKkNtOwC/A7VfXPT+hccjXwwnYH5GOAT0zRfhs+Wnoyr6lI0/cgvaf3AVwDHJ7khQBJfiPJv9t8har6OXB7kmNbuyR5eZt+QVVd2551fh+9h6L1f8Z0fAf49amyyWBqD3n7BvAZ4Ja+J3gObC91xVCRpu884FtJLq+qjcAfAl9pjx64ht4TAAf5feCkJDfQu+Hgolb/VHrPp7+J3rNTbgAup3d6aloX6oH3A+NJ1ia5GXhP37KLgXfx+KmvqdpLT5s3lJQkdcYjFUlSZ7xQL22nkpwIfGCz8lVVdfIo+iNNh6e/JEmd8fSXJKkzhookqTOGiiSpM4aKJKkzhookqTP/H0MgXhgvx4dVAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# train['interest_level'].value_counts()\n",
    "sns.countplot(train.interest_level)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "由图可知，兴趣度在大多数情况下都是低的，其次是中等，只有少部分的样例为高分"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## bathrooms浴室"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a335eb5c0>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# train['bathrooms'].value_counts()\n",
    "sns.countplot(train.bathrooms)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "可以看出，绝大多数的浴室数量为1，其次为2个浴室"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/admin/Documents/Anaconda5.2/anaconda3/lib/python3.5/site-packages/pandas/core/indexing.py:189: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  self._setitem_with_indexer(indexer, value)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a32c15a90>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "train['bathrooms'].loc[train['bathrooms']>3] = 3\n",
    "sns.violinplot(x = 'interest_level', y = 'bathrooms', data= train, alpha=0.8)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "可以看出，在不同的兴趣程度上，浴室数量的分布差不多"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## bedrooms卧室"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a32dade48>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# train['bedrooms'].value_counts()\n",
    "sns.countplot(train.bedrooms)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "由图可知，卧室数量基本集中在1和2，也有不少没有卧室，3个卧室的房子也不少"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a32c7a9e8>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x='bedrooms', hue='interest_level', data = train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/admin/Documents/Anaconda5.2/anaconda3/lib/python3.5/site-packages/pandas/core/indexing.py:189: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  self._setitem_with_indexer(indexer, value)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a39dfa470>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "train['bedrooms'].loc[train['bedrooms']>4] = 4\n",
    "sns.violinplot(x = 'interest_level', y = 'bedrooms', data= train, alpha=0.8)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## price价格"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,5))\n",
    "plt.scatter(range(train.shape[0]), np.sort(train.price.values))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "我们观察到，有几个价格异常，我们把它们移除掉，然后再绘制分布直方图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "13000.0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/admin/Documents/Anaconda5.2/anaconda3/lib/python3.5/site-packages/pandas/core/indexing.py:189: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  self._setitem_with_indexer(indexer, value)\n"
     ]
    }
   ],
   "source": [
    "ulimit = np.percentile(train.price.values,99) #99分位数\n",
    "print(ulimit)\n",
    "train['price'].loc[train['price']>ulimit]=ulimit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(49352, 15)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2.4588530175741186\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a32bceef0>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(train.price.skew()) \n",
    "\n",
    "fig = plt.figure(figsize=(12, 6))\n",
    "sns.distplot(train['price'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "可以看出price的分布状态右侧有较长的尾部，skew值大于0.75，需要进行分布变换。一般使用log变换"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.640195929396618\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x10ee68748>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "target = np.log(train.price) \n",
    "print(target.skew()) \n",
    "fig = plt.figure(figsize=(12, 6))\n",
    "sns.distplot(target)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "log变换后，符合正态分布"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## latitude纬度"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,5))\n",
    "plt.scatter(range(train.shape[0]), np.sort(train.latitude.values))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/admin/Documents/Anaconda5.2/anaconda3/lib/python3.5/site-packages/pandas/core/indexing.py:189: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  self._setitem_with_indexer(indexer, value)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a32b6c0b8>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAD8CAYAAABn919SAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAIABJREFUeJzt3Xd4XFed//H3d2Y06r1ZVrEsWbbj7lixY8dOM2TTSAIskALJ0gxZfsBCdiH8gM0+/BYedinLQmiGVILTExKSAAmJHccldtx7UbOs3nsZSXN+f8zIcZGs0cxIM5r5vp7HTzQzd+793kj66My5554jxhiUUkpNfZZAF6CUUso/NNCVUipEaKArpVSI0EBXSqkQoYGulFIhQgNdKaVChAa6UkqFCA10pZQKEWMGuog8LCINInLovOe/LCLHReSwiPz3xJWolFLKEzYPtnkUeBB4fPgJEbkGuBVYZIzpF5EMTw6WlpZm8vPzvShTKaXC1+7du5uMMeljbTdmoBtjNotI/nlP3wv80BjT796mwZOi8vPz2bVrlyebKqWUchORU55s520f+mxgjYjsEJG3ReQyL/ejlFLKTzzpchntfcnA5cBlwDMiUmBGmOlLRNYB6wDy8vK8rVMppdQYvG2hVwEvGJedgBNIG2lDY8x6Y0yxMaY4PX3MLiCllFJe8jbQ/wRcCyAiswE70OSvopRSSo3fmF0uIvIkcDWQJiJVwAPAw8DD7qGMDuCekbpblFJKTR5PRrncMcpLn/RzLUoppXygd4oqpVSI0EBXSqkQoYGulFIhwttx6EqFrQ07Kkd8/s4Vep+FCixtoSulVIjQQFdKqRChga6UUiFCA10ppUKEBrpSSoUIDXSllAoRGuhKKRUiNNCVUipEaKArpVSI0EBXSqkQoYGulFIhQgNdKaVChAa6UkqFCA10pZQKEWMGuog8LCIN7vVDz3/tX0XEiEjaxJSnlFLKU5600B8Frj//SRHJBT4IjDw5tFJKqUk1ZqAbYzYDLSO89D/ANwDj76KUUkqNn1d96CJyC1BtjNnv53qUUkp5adxL0IlIDPBt4DoPt18HrAPIy9MlupRSaqJ400IvBGYC+0WkAsgB9ojItJE2NsasN8YUG2OK09PTva9UKaXURY27hW6MOQhkDD92h3qxMabJj3UppZQaJ0+GLT4JbAfmiEiViHx24stSSik1XmO20I0xd4zxer7fqlFKKeU1vVNUKaVCxLj70JWaKjbsGPmetztX6GgrFZq0ha6UUiFCA10ppUKEBrpSSoUIDXSllAoRGuhKKRUiNNCVUipEaKArpVSI0EBXSqkQoYGulFIhQgNdKaVChAa6UkqFCA10pZQKERroSikVIjTQlVIqRGigK6VUiNBAV0qpEOHJmqIPi0iDiBw667kficgxETkgIi+KSNLElqlUcDLGcLKhk7qOvkCXopRHLfRHgevPe+4NYIExZhFwAviWn+tSKugdqm7nwY0lPLK1gl9vKuGtY/WBLkmFuTED3RizGWg577nXjTGD7ofvAjkTUJtSQet4XQcbdlYyMGS4bUk2GfFRfP7x3Ty1c+Rl75SaDP5YU/QzwNN+2I9SU8aWkiYSoyP46toirBZhcW4iG483cv8LB8lLjWFVYVqgS1RhyKeLoiLybWAQ+ONFtlknIrtEZFdjY6Mvh1MqKNS191Ha2M3lBalYLQJApM3Kbz+5jBmpMdz//EF6HINj7EUp//M60EXkHuBm4C5jjBltO2PMemNMsTGmOD093dvDKRU0tpU2EWEVLstPPuf5aLuVH35kEZUtPfzk9RMBqk6FM68CXUSuB74J3GKM6fFvSUoFr+aufvadbmNpXjIx9gt7LFcWpnLXijwe3lrOnsrWAFSowpknwxafBLYDc0SkSkQ+CzwIxANviMg+EfnNBNeplNc6+wZo63H4ZV9P7qxk0GlYVZg66jb33zCXrIQovvHcAfoHh/xyXKU8MeZFUWPMHSM8/dAE1KKU3w05Des3l9Hc7WBmWiyXF4wexJ54/Ug9M1JiyIiPGnWb+KgIvv+RhXz6kfd48K0S7rtujk/HVMpTeqeoCmmHatpp7nawNDeJjt4BntxZycGqdq/21dLt4GB1O0WZcWNue82cDD5yaTa/2lTK4RrvjqfUeGmgq5BljGHziUbS4yL56LIc/vnqWVgtwot7q73a39aSJoyBWRnxHm3/7zfPIznGzn3P7KfXoV0vauJpoKuQdbKhi9r2Pq6cnYZFhGi7lbnT4nl5fw2DQ85x72/LySYSomxkJ0V7tH1SjJ0ffWwRx+s7+faLB7nIYDCl/MIfNxYpNSE27Ljwrss7V+R5/P63TzSSEGVjce77Uw0tyU3ijzsq2VLSxNVzMjzelzGGd042sqow7czYc0/UtvWxdm4GL+ytxjHkPHPD0XjOQylPaaCrkHSsroPypm5uXDANm+X9D6JzMuNJjI7gxb3V4wr0sqZuatr7+NK1478D9Oo5GVS39vLawVqSou3Mm57g8x8rpUaiXS4qJL15tAHgnNY5gM1q4aZFWfztcB1d/Z7fzfnOCdddzmtmjf/mOIsIHyvOJTspmg07T7HnlI5PVxNDA12FpI3HGshOiiY+KuKC1z68NJu+ASevH67zeH/vnGxiRmoMeakxXtUTFWHlM6tnUpAex3N7qtha0uTVfpS6GA10FXLaehzsqWxldubIo1GW5SWTmRB5phU/Fsegk3fLmllT5NuEW5E2K3dfPoP50xN49WAt20o11JV/aaCrkLP5ZBNOA3OmjRzoFouwpiidLSVNDDnHHnmyt7KVbscQq73objmfzWrh9svymJeVwCsHatmuoa78SANdhZyNxxpIibWTkzz68MI1RWm09w5wsHrsm362lDRhtQgrL3K7/3hYLcLty3O5xB3qde262pHyDw10FVKGnIa3TzRy1ex0LDL68MI1RemIvH+x82I2n2xicU4iidEX9sd7y2ax8NFLs7HbLLrSkfIbHbaoQsqBqjZauh1cPSed7v7R785MibWzYHoi75xs4stri0bdrq3HwYGqNr5y7ejbDBtpKOLFxNhtrCpMY+PxBmrbe8f1XqVGoi10FVI2HmvAInBl0dj93WuK0thT2Upn38Co22wrbcYYuHL2xKxAdMWsVCJtFt465tkFWqUuRgNdhZQ3jjZwaV4yybH2MbddU5TOoNOwvbR51G3eOdlIfKSNxTlJo27ji+FW+uGaDo7UdEzIMVT40EBXIeN0Sw9Hazu4bn6mR9svm5FMjN3KOydHHmnimtyriZWFqdisE/ersnqWazqBF/ZUTdgxVHjQPnQVMv5+1HVx8YPzpnm0vd1mYWVBKptONGCMQc67iFrR3EN1Wy9fvKrA77WeLdpuJS8lhlcP1lKQfuHUvDolgPKUttBVyHjjSD1FGXHMTIv1+D03LszidEsv75a1jLA/152kazzoj/dVYXocte19dI9jOgKlzqeBrkJCW4+DHeUtfHCeZ90tw25alEVClI0nd547QmXIaXh8+ymW56eQP44/EN6ale46RllT94QfS4WuMbtcRORh4GagwRizwP1cCvA0kA9UAB83xuiMQ2EgWGcJ3Hi8gSGnGXegR0VY+cilOWzYUUlLt4MU98XUN47UU9Xay3duumQiyr1AdnIMkTYLpQ1dLMxOnJRjqtDjSQv9UeD68567H3jTGFMEvOl+rFTAvHGknoz4SK9Go9y+PBfHkPOci5KPbC0nOyna4/54X1ktwsy0WEobuybleCo0jRnoxpjNwPkdjLcCj7m/fgy4zc91KeWx9p4BNh1vZO0lmVjGsfjEsLnTErg0L4kNOysxxnC4pp0d5S3cs2rGuBaz8FVhehzN3Q7aehyTdkwVWrztQ880xtQCuP876koBIrJORHaJyK7GxrFvs1ZqvH6/pYwexxB3r5zh9T7uWJ5HWWM3V/94E1/4w25i7FY+UTy5XUmF7hEupY3aj668M+HDFo0x64H1AMXFxbqoovKrth4Hj2ytYMH0BPZWtrG3ss2r/fQNOLluXia17X209Ti4anY6rx6sndTrA5kJkcRG2iht7GLZjORJO64KHd4Ger2IZBljakUkC9D7llVA/O6dMrodg1x7yfguhp7PapFxLUk3EUSEgrRYKpq1ha68422Xy8vAPe6v7wFe8k85SnmuobOPR7dWcOPCLKYlRAW6HL/ISoyirWeAvoHRJxZTajSeDFt8ErgaSBORKuAB4IfAMyLyWaAS+NhEFqnCl2PQSUlDJ+29A3Q7hoiNtLIwO5HNJxr52ZsncQw5+Ze1RbxX4fmo2fHOijiZMt1/mBo6+shLnfjx7yq0jBnoxpg7RnlprZ9rUeocTmN4bHsF5WfdbHP2rISrClP5zk3zKMqMH1egB7PhTxr1Hf0a6GrcdC4XFbQ2HW+kvKmbmxdlsTA7kWi7lWUzkjlQ1U5WYhRXzU6/YP6VqS4xJgK7zUJdh65ipMZPA10Fpd2nWnnrWD2LchJZWZB6JrjnT09k/vTQvZPSIkJmfCT1GujKCzqXiwo6Q07D15/ZR2J0BLctyQ65VvhYMhOiqOvowxgd5avGRwNdBZ1dFS2cau7hunnTiIqwBrqcSTctMYoexxBdOvOiGicNdBV0XjtYS6TNwtys+ECXEhCZZ10YVWo8tA9dBZUhp+G1Q3VcOzeDSFvgW+eBGOL4fqD3MSvjwgUvlBqNttBVUHmvooXGzn5uWpQV6FICJi7SRmykTUe6qHHTQFdB5dUDtURFWLh2bmBvww+0zAQd6aLGTwNdBY0hp+Evh+pYOzeTGHt49wZOS4iioaMfp450UeOgga6CxnsVLTR1hXd3y7DMhCgcQ07aegYCXYqaQjTQVdDYWtKE1SJcOXviF2UOdpnxkQDa7aLGRQNdBY2d5S3Mn55AXGR4d7cApLkDvblLhy4qz2mgq6DQPzjEvtNtXJafEuhSgkKM3UZ0hJWmLl2OTnlOA10FhUPV7fQPOjXQz5IWZ6epW1voynMa6Coo7Cx3TX97Wb4uvTYsLS6SZm2hq3HQQFdBYVdFCwXpsaTGRQa6lKCRFh9Je+8APQ6d00V5RgNdBZzTadh1qpXl2t1yjjT3H7eKpp4AV6KmCh1OoALuhHuJuUGnCerl4SZbaqwdgPKmbuZNTwhwNWoq8KmFLiJfE5HDInJIRJ4UkdBYqVdNqvfKWwDI1yXXzpEaNxzoXQGuRE0VXrfQRSQb+AowzxjTKyLPALcDj/qpNhUm3qtoJSHKRnJMxJjbhlMLPtJmJSHKRrl2uSgP+dqHbgOiRcQGxAA1vpekws2eylbyUmPDbmUiT6TFRWoLXXnM60A3xlQDPwYqgVqg3Rjz+vnbicg6EdklIrsaGxu9r1SFpKaufqpae8lNjg50KUHJFejdgS5DTRFeB7qIJAO3AjOB6UCsiHzy/O2MMeuNMcXGmOL0dJ2jQ53rQFUbADnJMQGuJDilxdlp7RmgtVvHo6ux+dLl8gGg3BjTaIwZAF4AVvmnLBUu9p1uxyKQnaQt9JEMj8svb9ZWuhqbL4FeCVwuIjHi6vxcCxz1T1kqXOw/3cbszHjsNr0lYiTDY9HLGzXQ1dh86UPfATwH7AEOuve13k91qTBgjGF/VRtLcpMCXUrQSo6NwGoRKrSFrjzg041FxpgHgAf8VIsKM5UtPbT1DLA4NwldmGdkNouF3ORoyvTCqPKAfs5VAbPvtOuCqLbQL25mWqx2uSiP6K3/akQj3cBT3tTNE++eYt2VBWQm+H5T8L7TbURHWCnKiGNvZZvP+wtV+WmxvFvWgjFGx+qri9IWuvLYrooWegeGePNovV/2t/90GwuzE7FZ9cfwYgrSYukdGKK+Q+dGVxenv0nKI4NDTo7UdmC3WThU00FNW69P+xsYcnKopoPFuYl+qjB0zUyLA9AbjNSYNNCVR042dNE/6OTDS7OJirD43Eo/XteJY9DJYu0/H9PMdNekZRroaiwa6MojB6vbiY6wsmB6IqtnpXO0rpOqVu8njRq+ILo4RwN9LFkJUUTaLDqnixqTBroa08CQk6O1HcyfnoDVIlxRmEqkzcJO97S33th/uo3UWDs5OofLmCwWcY100Ra6GoMGuhrTyXpXd8vCbFd/d2SElbyUGKp96Effd9p1Q5GO2vBMfmqsjkVXY9JAV2M6VNNOjN1KQXrcmeeyk6Op7+hjYMg57v119g1Q0til/efjMDM9lsrmHga9+P+twocGuhpTXXsfeSkxWC3vt6ZzkqJxGqht7xv3/g5Wt2MMGujjMDMtlkGn8elTkQp9emORuihjDM3d/RSmn7s8XLZ7utvxXhjdsKOSt0+45sU/Wd9JdasGlCcK0lz//8uaupmhS/WpUWgLXV1UZ98gA0PmzDSuwxKibMRH2rwK5KrWHlJj7cTYtT3hqZnuQNcpANTFaKCri2p2L6wwvAL9MBEhOznaqy6AqtZeHd0yTimxduKjbDrSRV2UBrq6qOYu1+3m57fQwXVhtLGzn+7+QY/319E7QHvvgK5QNE4iQoEOXVRj0EBXF9Xc7cAikBgdccFrOUnRGOBQdbvH+xvuc9c1RMdPx6KrsWigq4tq7naQHGM/Z4TLsOELowfHEeinW3uxCGTpknMe27Cjkg07KunsH6SmrZdHt1YEuiQVpDTQ1UW1dPWTGmcf8bW4SBtJ0REcqPI80CuauslOiiZCZ1gct8z4KAzQ0Dn+oaIqPOhvlRqVa8iig9TYC/vPh2UnR3OgyrO5zPsGhqhq7T0zYkONT1aiaw56b8b+q/DgU6CLSJKIPCcix0TkqIis9FdhKvC6HUP0DzpHbaGDqx+9ormHth7HmPvbW9nGkDHka6B7JTnWjt1m0UBXo/K1hf6/wF+NMXOBxcBR30tSweLMCJfYiwR6iqsffXj2xIvZWd6CADNSNNC9YRFhWkIUde16M5YamdeBLiIJwJXAQwDGGIcxRtcRCyHvj0EfvcslJykaEQ8DvaKZaYlRRNutfqsx3ExLjKKuow+jq2qrEfjSQi8AGoFHRGSviPxeRC5oeonIOhHZJSK7GhsbfTicmmzNXQ4ESIq9cMjisMgIK7Mz4scMdMegk92nWrW7xUdZiVH0DTip0ikT1Ah8CXQbcCnwa2PMUqAbuP/8jYwx640xxcaY4vT0dB8OpyZbc3c/STER2CwX/zFZkpvE/tNtF201Hqppp2/AyUydh8QnWe7FuY/VdQa4EhWMfAn0KqDKGLPD/fg5XAGvQkRLt2PEO0TPtyQvidaeAU41jz5R144y12IY2kL3TWZiFAIcre0IdCkqCHkd6MaYOuC0iMxxP7UWOOKXqlRQaO5yXPSC6LAl7mlw955uHXWbneXNFKbHEhepE3L5ItJmJSXWroGuRuTrKJcvA38UkQPAEuAHvpekgkGPY5DegSFSPAj02ZnxxNit7KscuR+9f3CI9ypaWT4z1d9lhqVpiVEa6GpEPjWXjDH7gGI/1aKCSGv3AIBHgW61CAuzEy+4MLphRyXg6h7o6h8k0qb3sflDVmIUbx5roLt/kFj9xKPOor9hakSt7huFkmLGDnSApXnJHKntoG9g6ILX9le1EWO3UnjWEnbKe1mJ0RijF0bVhTTQ1Yjae10t9OQRZlkcyZLcJAaGDEfO6wpwDDo5WtvBgumJI07wpcZvmnuky5Eaz+fQUeFBA12NqK3Hgd1q8fgmoOL8ZKwW4ZX9tec8f6yug4Ehw6KcxIkoMywlxUQwLSGKd90jh5QapoGuRtTaM0BiTAQinrWq0+IiuXXxdJ56r5LW7vfndTlQ1U58lE2HK/qRiLC6KI2tpU04nXrHqHqfBroaUXvvAMkxnnW3DPvCVYX0OIZ4fPspwDW74on6ThZmJ2Lx8A+D8szqWWm09Qxc0MWlwpsGuhpRa4+DpGjPLogOmzMtnrVzM3hsewV17X08s+s0g07D4pykiSkyjK2a5RoCuqWkKcCVqGCiga4u0OMYpMcxRNI4W+gA915dSEu3g2t+vImT9V18aFEWuSm6fqi/ZcRHMScznq0a6OosGujqAjVtromfvAn04vwUVs9KIzkmgs9fWcDKwjR/l6fcrpiVxs7ylhGHiqrwpIGuLlDd5lpAYbxdLsMe+qdi3v7GNeRpy3xCrSlKo989i6VSoIGuRlDd6n0LHVzzjeiaoRNv+cwUbBbRfnR1hv7WqQtUt/VgEUjw8KYiFRixkTYuzUtm47EGXfBCARroagQ1bX0kREfoUMMp4KPLsjlW16mtdAVooKsRVLf2et1/ribXbUuzyUyI5FcbSwNdigoCGujqAtVtveO+qUgFRqTNyudWF7C9rJm9lXpxNNxpoKtzDA45qevo8/qCqJp8d6zIIzE6gl9v0lZ6uNPJlNU56jv7GXIa7XKZQuIibdyzcgY/f6uETccbuHpOxjmvD89Lf747V+RNRnlqEmkLXZ3D1yGLKjA+u6aAS7IS+Pzju/jz/ppAl6MCxOdAFxGriOwVkVf8UZAKrOo210LPni5soYJDYnQET627nCW5SXzlqb385ytHOFmvC2CEG390uXwVOAok+GFfKsC0hT51JUZH8PhnVvCtFw7wyLYKfr+lnMW5SczPSmDe9AQdhhoGfGqhi0gOcBPwe/+UowKtormHzIRIvdNzioq2W/nZ7Ut591tr+e7N82jvcbBhZyU/f/PkmTl6VOjytYX+M+AbQLwfalFBoLypm5m6GEXQG+tCZ3p8JJ9dPZN7Vs7g2y8e4q+H63hsewX3XlV4pjttpH3ohdKpzetmmIjcDDQYY3aPsd06EdklIrsaGxu9PZyaJGWNXRToYs4hw2a1sDg3iX9alY9j0Mnj20/Rr7MzhixfPldfAdwiIhXAU8C1IvLE+RsZY9YbY4qNMcXp6ek+HE5NtNZuB609AxRoCz3kZCZEcefyPBo6+3h+T1Wgy1ETxOtAN8Z8yxiTY4zJB24H3jLGfNJvlalJV97cDaBdLiGqKDOeq+dkcKimg/qOvkCXoyaAXvlSZ5Q1aqCHulUFqURYdcrdUOWXQDfGbDLG3OyPfanAKW/qwmYRXTIuhMW4p9zdd7qNzr6BQJej/Exb6OqM8qZu8lJidMhiiFs9Kw2n07C9rDnQpSg/099cdUZZow5ZDAepcZFckpXAjrIWHIPOQJej/Egn51IAOJ2G8qZu1hTpos5T2Wjj08+3qjCVI7UdHKvrYFFO0gRXpSaLttAVALUdffQPOpmZpmPQw0F+WiwxditHajsCXYryIw10BbhuKAId4RIuLCLMnZbAifpOhpy6Hmmo0EBXgOuCKEBhugZ6uJiXFU/fgPPM915NfRroCnBdEI21W0mPjwx0KWqSzMqIx2YRjmq3S8jQQFcAlDV1MzM9FtEpVsOG3WZhVkYcR2s7MEa7XUKBBroCXH3oekE0/MzLSqCtd4Dadp0KIBRooCvq2vuoau1lUXZioEtRk2zOtHgEtNslRGigK7a65/VYNSs1wJWoyRYfFUF2cjQnG7oCXYryAw10xdbSJlJi7VwyTVcRDEeF6XFUtfboPOkhQAM9zBlj2FbSzMqCVCwWvSAajgrT43Ca96dPVlOXBnqYK2vqpq6jT7tbwtiM1BhsFqFUu12mvLCZy0XXTxzZNnf/+RWF3s/h4un8ISo4RVgt5KXGUNqoLfRhUzUvtIUe5raVNjM9MYoZqToHejiblR5HXUcfTV39gS5F+UADPYwNz4m9alaa3lAU5grdC4NvL9U50qcyDfQwtr+qjbaeAa7Q/vOwNz0pmkib5cwQVjU1eR3oIpIrIhtF5KiIHBaRr/qzMDWxHINO/v2lwyTFRHD17IxAl6MCzGoRCtJi2VqqgT6V+XJRdBC4zxizR0Tigd0i8oYx5oifalM+GOuizs/+foKD1e385pPLSI61T2ZpKkjNyojjzwdqOdXczYxUnXVzKvI60I0xtUCt++tOETkKZAMa6EGgq3+QuvY+WnscOAadpMdHcrqlh27HIAdOt/Prt0v5RHEu1y+YFuhSVZAoyowHatl8opFPrdRAn4r8MmxRRPKBpcAOf+xPea+7f5BfbSrht2+XMXjewgWPbqs483VBeiz//qF5k1ydCmapsXZyU6J5+0Qjn1qZH+hylBd8DnQRiQOeB/7FGHPBDD8isg5YB5CXF/zjOKeyd8ua+cqTe2no7GdJbhLLZiSTEmsnwmqhsbOfgvRY4qNsTE+K5pJpCUTbrYEuWQUREeGq2em8sKcax6ATu03HTEw1PgW6iETgCvM/GmNeGGkbY8x6YD1AcXGxTrrsZ8N95ftOt/L87mpSYu188apC8lLOHVceF2nDGOjoHaSjt5NjtZ1nXpsKN0yoyXFlUTpPvFvJrlMtrPLhZjMVGF4HurgGLj8EHDXG/NR/JanxMMaw8Xgjfz9az8y0WD65Yoa2vJXXVhamYrMIm080+TXQp+qdl1ONLy30K4BPAQdFZJ/7uf9rjHnN97KUJwaGnLywp5rdla0szU3iw5dmY7Pox2TlvfioCJbNSGbziUbuv2HuuN+v00AEli+jXLYAenthgDR09vG1p/exu7KVa+dmsHZuht7tqfziytnp/Ohvx2no7CMjPsqnfTmNoayxGxGYnhitnx4nWNhMzhVKXj1Qy3f+dJAexxD/eGkOl85IDnRJKoRc5Q70Tcca+fhluV7tY9DpZGd5C9tKm2npdpx5fnpiFB9dlkNWYrS/ylVn0UCfIoachjeP1vPQlnJ2lLewOCeRn3x8CTvLWwJdmgox86cnMCM1huf3VHkV6I5BJ3/ccYqTDV3kpcTwwXmZxERYqWnrZVtZM7/eVMpNi7K4Y3mufqr0Mw30INfVP8izu07z6LYKTjX3kBQdwU0Ls7i8IFXDXE0IEeFjy3L48esnqGzuIW8cM3H2OoZ4fHsFlS09fHhpNpflp5x5rSgznmX5KTy76zQv7ashLS6S79x0iYa6H2mgB6nTLT08tq2Cp987TWf/IMtmJLOqMI15WQlYdWUhNcE+cmkOP3njBM/tPs3Xr5vj0Xv6BoZ4dFs5NW193L48j4UjLDoeF2njnlX5vHqgloe2lGOzCPffMFdD3U800INMfUcfX/zDbvadbkMEFmQnckVhGrkpOl+5mjyGlFk9AAANo0lEQVTTk6JZU5TOc7ur+OoHZo/ZiHA6Dfc9s5+q1l7uXJHH/OkXhvkwiwg3L8qiMCOW324uw2oR/u0f5mio+0FYBHpDRx/bSptIiIpg/vSEoPzB6R8c4uEtFfzirZM4Bp2snpXGqllpJEZHBLo0FaY+tiyHLz+5l22lTawpSr/otj954zivHqzlhgXTLhrmw0SE792ygCEn/GpTKTaLePxJYDIZY6ho7iF2iozOCelAb+l28G/P7mfj8QaGpzUpyojjlsXTSY2LDGxxbsYY3jrWwP975QgVzT1cNy+TRTlJpEziDIg6dliN5IPzMkmMjuDJnZUXDfQ/vHuKX24s5Y7luSzwIMyHWSzC929bwJDTyc/fKsFiEb66tihoGlzNXf28vL+Gk+61Vv9yqI67V83grhUzAlzZ6EI20J1Ow1ef2suO8hbuvbqQCIuF0qZuXj9cx8/fOsnnVhcEukRKG7u494ndnKjvIj0ukk+vynfPeKdU4EVFWLl75Qx+8VYJrxyo4eZF0y/Y5tUDtfz7S4dYOzeD7926gGd3VY3rGBaL8MOPLGLICT/7+0lO1Hfy/dsWBnxK54PV7Ty76zRWi3DTwiwsApWtvXz7xUPERdq4dUl2QOsbTcgG+oMbS3jnZBM/+PBC7lyRx4YdlWQkRDEvK4HfvVPG49sruH15bkDmfe7sG+DBt0p4eGs5FhFuXJjFyoJUvdipgs5X1haxpaSJbz1/kIXZief8vtz//AGe3VVFXkoMa4rSxx3mZ38yXJqXRFf/IH87VM/uU6187QOzuWFBFokxERdse7aJmD5g47EGnn6vktzkGO5YnkeCu9vzp8U53PW7Hdz//EHmTItn7rQEvx/bV2LM5M2XVVxcbHbt2jXhx9lW0sRdD+3gtiXZ/PTjixGRc34gmjr7+fXbpUxLjOKFe1dNWmvA6TS8uLeaH/71GI2d/Xy8OIfC9Djio7SfXAWHkQKyqrWHG//3HXKSY/jSNbPITYnmN2+X8trBOnKSo/n0qpl+uwO0uq2XN4/Wc6yukwirsDQvmWkJUTR29mOAwSEnQ07DoNMwMOQkJdZO78AQxoDNIsRH2XAayEqMYnZmPFER79flSfjvKGvm7od3khpn53OrCy54f0NnHzf/fAsxdisvf3k1CZP0uysiu40xxWNuF2qB3jcwxHX/sxmbVXjly6uJsbs+hJz/F76iqZtHt1ewKDuRJz634pxvnL8ZY9h0opH//utxjtZ2sCQ3if+4ZT5LcpO0/1oFldFC7+9H6vnShj30DzoBsNssXDM7ndVF6X7/ZHnH8lwOVXfw8v5qdp9qpbnbQX1HH4Jgswo2i2C1WIiwCtOToomxWxERhpxOmrscnKzvYsgYIqzCopwkLi9IJTspesxA33S8gXuf2MP0pCg+cVkecZHndmAMv/+9ihY+8dvt3L0yn/+4Zb5fz300ngZ6yHW5PLSlnMqWHp747IozYT6S/LRY/ufjS/jShj3c98x+fnHHUiwT0OWxp7KV//rLMXaUt5CbEs3PPrGEWxZPn5BjKTVRPjAvk/0PXEdpYxclDV0syklie2nzhBxLRFiYk8jCnPcvsI6n4TPodFLd2svuU60cqGpn96lWLpkWz8Lsc/d5tpf2VXPfM/uZnRnPY59ZzhtH6kfd/2X5Kdy5Io8/vHuK25fnBlXXS0gFem17Lw++VcI/zM9kddHYU3/etCiL6ra5/OC1Y2QkRPLdm+b5LWj3Vrby602lvH6knrQ4Ox9alMVlM1PocQzx1Hun/XIMpSZTVISV+dMTzwxLnKhA95XNYmFGaiwzUmO5cWEW20qb2VLSyIce3MLSvCRuvyyXBdmJJERFcKyuk0e2lrOttJkVM1P43T3FHnWj/Ot1c3j1QC0PvHSYp9ZdHjQjc0Iq0H/4l2MMGcN3bvJ8abXPrymgpq2PR7ZWUNXay08/vtjrPu2+gSHeOFLPT14/TkVzD1ERFj5wSQZXzEoj0jY1xrGq8BZq85ZHRVi5dm4GqwpTcRrD0++d5pvPHzxnm6zEKL55/Vw+fUW+x12vSTF2/vUf5vDtFw/x5wO13LL4whFAgRAygb7xWAMv7avhK9fOGtddlSLCAx+ax4zUGP7z1aPc9sutfOuGS7h2boZHrfW+gSG2lzbzxtF6Xj1QS3vvAEkxrvlWimckEzmBffNKhaKJuK4UFWHlzhV5fHb1TA7XdFDV2ktn3wCJ0RFcMzeDCOv41xG4/bI8ntp5mu/9+TCrZ6VN6r0jowmJQG/rcfDN5w8wJzOeL107y+P3nf2DE2mz8ulV+Ty3u4rPPb6LmWmx3Lwoi0uyEpiZFkuE1RXujZ0Oqtt6OVnfyd8O11Pd1sPAkMFutTA3K57iGSkUpMdiCZKPYEopl5H+UFw3f5rX+7NahB99bBEf+sUWvvOng/zyzksD3vUSEoH+wMuHael28PA/XeZT10ZBehz3XTeHpJgIHtlazi83lpy5w/R8dquFzIRILstPYXZmvDv0dbUgpaYSXz8NzJ2WwNc+OJv//utxXt5fE/AbjqZ8oP9xxyle2lfD1z4wmwUjzO42XlaL0Nk3yD8uy+XWJdk0dPTT0uPAGIMBYu02kmMiSIyJ0OXeVFjQobUXt25NAW8cqee7fzpEUUY886YHbtSLT4kkIteLyHERKRGR+/1VlKd+t7mMb794iKvnpPPP1xT6ff8RVgvZydEszE5kUU4Si3OSmJURR2pcpIa5UgoAm9XC/35iKbGRNm5fv53dp1oDVovXqSQiVuCXwA3APOAOEfF8eIkPGjr7eOClQ3z/taPctDCL9Z8q1u4OpVTA5KXG8OwXV5Ica+dTD+3gyZ2V9A8OTXodvnS5LAdKjDFlACLyFHArcMQfhZ2to2+Ak/VdlDR0squilZf21zAw5OTulTN44EPzdQ4UpVTA5STH8OwXVvKFJ3bzrRcO8tM3TvCPy3KYl5VAUWYcBWlx2G0T2/D0JdCzgbPvkKkCVvhWzsi+/8pRnt7lOlSM3crHluXwuTUFzEyb/Im1lFJqNBkJrvmhtpY089vNpfz27dIzAyt+d3cxH5yXOaHH9yXQR2oWXzAmRETWAevcD7tE5LgPxwTgKPADX3dycWlA08QeIijpeYeXcDxvr8/5Lh8PfN1/+fR2jyZh9yXQq4CzlwTPAWrO38gYsx5Y78NxJp2I7PJkIpxQo+cdXsLxvEP9nH3p0HkPKBKRmSJiB24HXvZPWUoppcbL6xa6MWZQRP4P8DfACjxsjDnst8qUUkqNi083FhljXgNe81MtwWRKdRH5kZ53eAnH8w7pc57UBS6UUkpNHL0bRymlQkTYBLqIWEVkr4i84n48U0R2iMhJEXnafWF3pPctEpHtInJYRA6KSJT7+U3uaQ/2uf9lTOb5eMKbcxaRu846p30i4hSRJe7Xlrn/H5SIyM8l0FPLjWICzjvov9fg9XlHiMhj7u/rURH51lmvBXRqD09NwHlXuJ/fJyITvwiyPxljwuIf8HVgA/CK+/EzwO3ur38D3DvCe2zAAWCx+3EqYHV/vQkoDvR5+fucz3v/QqDsrMc7gZW47kH4C3BDoM9xks476L/X3p43cCfwlPvrGKACyMc10KEUKADswH5gXqDPcaLP2/24AkgL9Hl58y8sWugikgPcBPze/ViAa4Hn3Js8Btw2wluvAw4YY/YDGGOajTGTP0GDF3w457PdATzpfn8WkGCM2W5cP/WPe/D+Sefv854qfDhvA8SKiA2IBhxAB2dN7WGMcQDDU3sElQk47yktLAId+BnwDcDpfpwKtBljBt2Pq3BNZXC+2YARkb+JyB4R+cZ5rz/i/lj23SDsfvD2nM/2Cd4Ptmz3e4Z58v5A8Pd5Dwvm7zV4f97PAd1ALVAJ/NgY08LIU3uE0vd7tPMGV9i/LiK7xXWn+5QR8oEuIjcDDcaY3Wc/PcKmIw33sQGrcd31uxr4sIisdb92lzFmIbDG/e9T/qvaNz6e8/A+VgA9xphD3rw/ECbovCGIv9fg83kvB4aA6cBM4D4RKRjH+wNmgs4b4ApjzKW4ZpL9kohc6ceyJ9SUX+DCA1cAt4jIjUAUkIDrr3qSiNjcf8lHnLYA11/3t40xTQAi8hpwKfCmMaYawBjTKSIbcP2APD7hZ+MZX8552O2c20qtcr9n2FjvD4SJOG+C/HsNvp33ncBfjTEDQIOIbAWKcbXOx5zaI8Am4rzLjDE1AMaYBhF5Edf3e/PEn44fBLoTfzL/AVfz/oWTZzn3wsk/j7B9MrAH10UTG/B3XP11NtwXTYAIXB/fvhjo8/PHObtfs+AK8ILznn8PuJz3L4reGOjzm+jznkrfa2/OG/gm8Ij7exqLa/rrRe7zLsPVeh2+KDo/0Oc3CecdC8S7t4kFtgHXB/r8PP0X8l0uF/FN4OsiUoKr3+0hABG5RUS+B2CMaQV+iivI9gF7jDGvApHA30TkgPv5auB3k38K4zbmObtdCVQZ91z3Z7kX18WnElwjIP4y8SX7hS/nPVW/1+DZef8SiAMO4fo5f8QYc8C4WrfDU3scBZ4xU2dqD6/PG8gEtojIflyjul41xvx1sk/AW3qnqFJKhYhwbqErpVRI0UBXSqkQoYGulFIhQgNdKaVChAa6UkqFCA10pZQKERroSikVIjTQlVIqRPx/+OBj3kVicE0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "llimit = np.percentile(train.latitude.values,1)   #1%分位数\n",
    "ulimit = np.percentile(train.latitude.values,99)   #99%分位数\n",
    "train['latitude'].loc[train['latitude']>ulimit]=ulimit\n",
    "train['latitude'].loc[train['latitude']<llimit]=llimit\n",
    "sns.distplot(train.latitude.values, bins=50, kde=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "由图可知，纬度基本上介于40.6到40.9之间"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## longitude经度"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/admin/Documents/Anaconda5.2/anaconda3/lib/python3.5/site-packages/pandas/core/indexing.py:189: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  self._setitem_with_indexer(indexer, value)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a329c9240>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "llimit = np.percentile(train.longitude.values,1)   #1%分位数\n",
    "ulimit = np.percentile(train.longitude.values,99)   #99分位数\n",
    "train['longitude'].loc[train['longitude']>ulimit]=ulimit\n",
    "train['longitude'].loc[train['longitude']<llimit]=llimit\n",
    "sns.distplot(train.longitude.values, bins=50, kde=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "经度介于-73.8和-74.02之间。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## created发布时间"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "train['created'] = pd.to_datetime(train['created'])\n",
    "train['date_created'] = train['created'].dt.date\n",
    "cnt_created = train['date_created'].value_counts()\n",
    "\n",
    "# plt.figure(figsize=(16,8))\n",
    "# sns.barplot(x=cnt_created.index, y=cnt_created.values, data=train)\n",
    "# plt.show()\n",
    "\n",
    "plt.figure(figsize=(16,8))\n",
    "ax = plt.subplot(111)\n",
    "ax.bar(cnt_created.index, cnt_created.values, alpha=0.8)\n",
    "ax.xaxis_date()\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "下面我们提取hour来分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0UAAAGiCAYAAAAoWW2mAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAH4dJREFUeJzt3Xu8rXVdJ/DPV045mSm34w2YsMRKS0vPCzGbxqIQtIJJnbAmyBiZVymi04xZNkN5acwulJZOvIKCMlGxgkpTRLSrCKKhCAZ544ToUZAudhn0O3+s58j2cA6Xs8961ub83u/Xa7/2Wr/nWev7PWvvs/f6PM/v+e3q7gAAAIzqHqtuAAAAYJWEIgAAYGhCEQAAMDShCAAAGJpQBAAADE0oAgAAhiYUAQAAQxOKAACAoQlFAADA0IQiAABgaJtW3cDuOvDAA/vQQw9ddRsAAMAG9e53v/tT3b35jva724aiQw89NJdddtmq2wAAADaoqvrondnP9DkAAGBoQhEAADA0oQgAABiaUAQAAAxNKAIAAIYmFAEAAEMTigAAgKEJRQAAwNCEIgAAYGhCEQAAMDShCAAAGJpQBAAADE0oAgAAhiYUAQAAQxOKAACAoQlFAADA0DatugH2jBvOfd4sdR5w/MtmqQMAAHNxpggAABiaUAQAAAxNKAIAAIYmFAEAAEMTigAAgKEJRQAAwNCEIgAAYGhCEQAAMDShCAAAGJpQBAAADE0oAgAAhiYUAQAAQxOKAACAoQlFAADA0IQiAABgaHcYiqrqrKr6ZFW9f83Y/lV1YVVdM33ebxqvqnp5VV1bVVdU1aPWPObEaf9rqurENeOPrqr3TY95eVXVnv5HAgAA7MqdOVP0W0mO3mHs+Uku6u7Dklw03U+SY5IcNn2cnORVySJEJTktyWOSHJ7ktO1Batrn5DWP27EWAADA0txhKOruP01y4w7DxyY5e7p9dpLj1oyf0wvvTLJvVT0wyROSXNjdN3b3TUkuTHL0tO0+3f1X3d1JzlnzXAAAAEu3u9cU3b+7P54k0+f7TeMHJbluzX5bp7HbG9+6k3EAAIBZ7OmFFnZ2PVDvxvjOn7zq5Kq6rKou27Zt2262CAAAcKvdDUWfmKa+Zfr8yWl8a5JD1ux3cJLr72D84J2M71R3n9HdW7p7y+bNm3ezdQAAgFvtbii6IMn2FeROTHL+mvETplXojkhy8zS97s1Jjqqq/aYFFo5K8uZp2z9U1RHTqnMnrHkuAACApdt0RztU1WuSPD7JgVW1NYtV5F6a5HVVdVKSjyV56rT7G5M8Mcm1ST6b5OlJ0t03VtWLklw67ffC7t6+eMOPZLHC3ZcledP0AQAAMIs7DEXd/bRdbDpyJ/t2kmfu4nnOSnLWTsYvS/L1d9QHAADAMuzphRYAAADuVoQiAABgaEIRAAAwNKEIAAAYmlAEAAAMTSgCAACGJhQBAABDE4oAAIChCUUAAMDQhCIAAGBoQhEAADA0oQgAABiaUAQAAAxNKAIAAIYmFAEAAEMTigAAgKEJRQAAwNCEIgAAYGhCEQAAMDShCAAAGJpQBAAADE0oAgAAhiYUAQAAQxOKAACAoQlFAADA0IQiAABgaEIRAAAwNKEIAAAYmlAEAAAMTSgCAACGJhQBAABDE4oAAIChCUUAAMDQhCIAAGBoQhEAADA0oQgAABiaUAQAAAxNKAIAAIYmFAEAAEMTigAAgKEJRQAAwNCEIgAAYGhCEQAAMDShCAAAGJpQBAAADE0oAgAAhiYUAQAAQxOKAACAoQlFAADA0IQiAABgaEIRAAAwNKEIAAAYmlAEAAAMbdOqG2DvcOUbnjtbrYc/+fTZagEAsPdzpggAABiaUAQAAAxNKAIAAIYmFAEAAEMTigAAgKEJRQAAwNDWFYqq6rlVdWVVvb+qXlNV/66qHlxVl1TVNVX12qr60mnfe073r522H7rmeX5iGv9gVT1hff8kAACAO2+3Q1FVHZTk2Um2dPfXJ9knyfFJfi7J6d19WJKbkpw0PeSkJDd190OSnD7tl6p62PS4hyc5Oskrq2qf3e0LAADgrljv9LlNSb6sqjYluVeSjyf59iTnTdvPTnLcdPvY6X6m7UdWVU3j53b3v3b3h5Ncm+TwdfYFAABwp+x2KOruv0vyC0k+lkUYujnJu5N8prtvmXbbmuSg6fZBSa6bHnvLtP8Ba8d38pgvUlUnV9VlVXXZtm3bdrd1AACAL1jP9Ln9sjjL8+AkD0ry5UmO2cmuvf0hu9i2q/HbDnaf0d1bunvL5s2b73rTAAAAO9i0jsd+R5IPd/e2JKmq30vyzUn2rapN09mgg5NcP+2/NckhSbZO0+3um+TGNePbrX0M3K285YJTZqlz1Pe8YpY6AAAjWM81RR9LckRV3Wu6NujIJB9IcnGSp0z7nJjk/On2BdP9TNvf1t09jR8/rU734CSHJXnXOvoCAAC403b7TFF3X1JV5yW5PMktSd6T5Iwkf5zk3Kp68TR25vSQM5P8dlVdm8UZouOn57myql6XRaC6Jckzu/tzu9sXAADAXbGe6XPp7tOSnLbD8Ieyk9Xjuvtfkjx1F8/zkiQvWU8vAAAAu2O9S3IDAADcrQlFAADA0IQiAABgaEIRAAAwNKEIAAAYmlAEAAAMTSgCAACGJhQBAABDE4oAAIChCUUAAMDQhCIAAGBoQhEAADA0oQgAABiaUAQAAAxNKAIAAIYmFAEAAEMTigAAgKEJRQAAwNCEIgAAYGhCEQAAMDShCAAAGJpQBAAADE0oAgAAhiYUAQAAQxOKAACAoQlFAADA0IQiAABgaEIRAAAwNKEIAAAYmlAEAAAMTSgCAACGJhQBAABDE4oAAIChCUUAAMDQhCIAAGBoQhEAADA0oQgAABiaUAQAAAxNKAIAAIYmFAEAAEMTigAAgKEJRQAAwNCEIgAAYGhCEQAAMDShCAAAGJpQBAAADE0oAgAAhiYUAQAAQxOKAACAoQlFAADA0IQiAABgaEIRAAAwNKEIAAAYmlAEAAAMTSgCAACGJhQBAABDE4oAAIChCUUAAMDQhCIAAGBo6wpFVbVvVZ1XVVdX1VVV9diq2r+qLqyqa6bP+037VlW9vKquraorqupRa57nxGn/a6rqxPX+owAAAO6s9Z4p+pUkf9LdX5vkkUmuSvL8JBd192FJLpruJ8kxSQ6bPk5O8qokqar9k5yW5DFJDk9y2vYgBQAAsGy7HYqq6j5JvjXJmUnS3f/W3Z9JcmySs6fdzk5y3HT72CTn9MI7k+xbVQ9M8oQkF3b3jd19U5ILkxy9u30BAADcFes5U/RVSbYl+c2qek9V/UZVfXmS+3f3x5Nk+ny/af+Dkly35vFbp7FdjQMAACzdekLRpiSPSvKq7v6mJP+UW6fK7UztZKxvZ/y2T1B1clVdVlWXbdu27a72CwAAcBvrCUVbk2zt7kum++dlEZI+MU2Ly/T5k2v2P2TN4w9Ocv3tjN9Gd5/R3Vu6e8vmzZvX0ToAAMDCboei7r4hyXVV9TXT0JFJPpDkgiTbV5A7Mcn50+0LkpwwrUJ3RJKbp+l1b05yVFXtNy2wcNQ0BgAAsHSb1vn4U5K8uqq+NMmHkjw9i6D1uqo6KcnHkjx12veNSZ6Y5Nokn532TXffWFUvSnLptN8Lu/vGdfYFAABwp6wrFHX3e5Ns2cmmI3eybyd55i6e56wkZ62nFwAAgN2x3r9TBAAAcLcmFAEAAEMTigAAgKGtd6EFknz6vHNmqXPAU06YpQ4AAIzEmSIAAGBoQhEAADA0oQgAABiaUAQAAAxNKAIAAIYmFAEAAEMTigAAgKEJRQAAwNCEIgAAYGhCEQAAMDShCAAAGJpQBAAADE0oAgAAhiYUAQAAQxOKAACAoQlFAADA0IQiAABgaEIRAAAwNKEIAAAYmlAEAAAMTSgCAACGJhQBAABDE4oAAIChCUUAAMDQNq26AdhT/ur8Z89S57HHvnyWOgAAzMOZIgAAYGhCEQAAMDShCAAAGJpQBAAADE0oAgAAhiYUAQAAQxOKAACAoQlFAADA0IQiAABgaEIRAAAwNKEIAAAYmlAEAAAMTSgCAACGJhQBAABDE4oAAIChCUUAAMDQhCIAAGBoQhEAADA0oQgAABjaplU3AOw5b/jjZ81S58lP+tVZ6gAAzMGZIgAAYGhCEQAAMDShCAAAGJpQBAAADE0oAgAAhiYUAQAAQxOKAACAoQlFAADA0IQiAABgaEIRAAAwtHWHoqrap6reU1V/NN1/cFVdUlXXVNVrq+pLp/F7TvevnbYfuuY5fmIa/2BVPWG9PQEAANxZe+JM0alJrlpz/+eSnN7dhyW5KclJ0/hJSW7q7ockOX3aL1X1sCTHJ3l4kqOTvLKq9tkDfQEAANyhdYWiqjo4yZOS/MZ0v5J8e5Lzpl3OTnLcdPvY6X6m7UdO+x+b5Nzu/tfu/nCSa5Mcvp6+AAAA7qz1nin65STPS/L56f4BST7T3bdM97cmOWi6fVCS65Jk2n7ztP8XxnfyGAAAgKXa7VBUVd+V5JPd/e61wzvZte9g2+09ZseaJ1fVZVV12bZt2+5SvwAAADuznjNFj0vyPVX1kSTnZjFt7peT7FtVm6Z9Dk5y/XR7a5JDkmTaft8kN64d38ljvkh3n9HdW7p7y+bNm9fROgAAwMJuh6Lu/onuPri7D81ioYS3dfcPJLk4yVOm3U5Mcv50+4Lpfqbtb+vunsaPn1ane3CSw5K8a3f7AgAAuCs23fEud9mPJzm3ql6c5D1JzpzGz0zy21V1bRZniI5Pku6+sqpel+QDSW5J8szu/twS+gIAALiNPRKKuvvtSd4+3f5QdrJ6XHf/S5Kn7uLxL0nykj3RCwAAwF2xJ/5OEQAAwN2WUAQAAAxNKAIAAIYmFAEAAEMTigAAgKEJRQAAwNCEIgAAYGhCEQAAMDShCAAAGJpQBAAADE0oAgAAhiYUAQAAQxOKAACAoQlFAADA0IQiAABgaEIRAAAwNKEIAAAYmlAEAAAMTSgCAACGJhQBAABDE4oAAIChCUUAAMDQhCIAAGBoQhEAADA0oQgAABiaUAQAAAxNKAIAAIYmFAEAAEMTigAAgKEJRQAAwNCEIgAAYGhCEQAAMDShCAAAGJpQBAAADE0oAgAAhiYUAQAAQxOKAACAoQlFAADA0IQiAABgaEIRAAAwNKEIAAAYmlAEAAAMTSgCAACGJhQBAABDE4oAAIChCUUAAMDQhCIAAGBoQhEAADA0oQgAABiaUAQAAAxNKAIAAIYmFAEAAEMTigAAgKEJRQAAwNCEIgAAYGhCEQAAMDShCAAAGJpQBAAADE0oAgAAhiYUAQAAQ9vtUFRVh1TVxVV1VVVdWVWnTuP7V9WFVXXN9Hm/abyq6uVVdW1VXVFVj1rzXCdO+19TVSeu/58FAABw56znTNEtSX6su78uyRFJnllVD0vy/CQXdfdhSS6a7ifJMUkOmz5OTvKqZBGikpyW5DFJDk9y2vYgBQAAsGy7HYq6++Pdffl0+x+SXJXkoCTHJjl72u3sJMdNt49Nck4vvDPJvlX1wCRPSHJhd9/Y3TcluTDJ0bvbFwAAwF2xR64pqqpDk3xTkkuS3L+7P54sglOS+027HZTkujUP2zqN7WocAABg6dYdiqrq3knekOQ53f33t7frTsb6dsZ3Vuvkqrqsqi7btm3bXW8WAABgB+sKRVX1JVkEold39+9Nw5+YpsVl+vzJaXxrkkPWPPzgJNffzvhtdPcZ3b2lu7ds3rx5Pa0DAAAkWd/qc5XkzCRXdfcvrdl0QZLtK8idmOT8NeMnTKvQHZHk5ml63ZuTHFVV+00LLBw1jQEAACzdpnU89nFJfjDJ+6rqvdPYTyZ5aZLXVdVJST6W5KnTtjcmeWKSa5N8NsnTk6S7b6yqFyW5dNrvhd194zr6AgAAuNN2OxR1959n59cDJcmRO9m/kzxzF891VpKzdrcXAACA3bVHVp8DAAC4uxKKAACAoQlFAADA0IQiAABgaEIRAAAwNKEIAAAYmlAEAAAMTSgCAACGJhQBAABDE4oAAIChCUUAAMDQhCIAAGBoQhEAADA0oQgAABiaUAQAAAxNKAIAAIYmFAEAAEMTigAAgKEJRQAAwNCEIgAAYGhCEQAAMDShCAAAGJpQBAAADE0oAgAAhiYUAQAAQxOKAACAoQlFAADA0DatugFg73LmW541S52TjvrVWeoAAHs/Z4oAAIChCUUAAMDQhCIAAGBoQhEAADA0oQgAABiaUAQAAAxNKAIAAIYmFAEAAEPzx1sBYC/1Yxe9a5Y6v3jk4bPUAVgWoQgAWIrnXXT1LHVeduTXzlIH2HuZPgcAAAzNmSIA9jrPuehNs9T55SOPmaUOAMvlTBEAADA0oQgAABia6XMAsATPvejts9Q5/cjHz1IHYG/mTBEAADA0oQgAABiaUAQAAAxNKAIAAIYmFAEAAEOz+hwAe9ypF/3eLHV+5cjvnaUO7K4/eNuNs9Q57tv33+W2v3jLZ2bp4XFH7TtLHVgGZ4oAAIChOVMEAOy1fv7iG2ap8z+/7QGz1AGWw5kiAABgaM4UAXuVn7n4lFnqnPZtr5ilDgCwfEIRwF7m1IvPmaXOr3zbCbPUAYBlE4oAAFiaKy+YZwW+h3/PrlfggzvimiIAAGBoQhEAADA00+cAANirXf+7n5qlzoO+/8Cdjn/qdz4yS/0D/8uhs9TZGwlFAHvYs99++ix1Xv74585SB4C7v0+/5opZ6hzwtEfMUmdP2zDT56rq6Kr6YFVdW1XPX3U/AADAGDbEmaKq2ifJryX5ziRbk1xaVRd09wdW2xkAALBeN772L2artf/3Pe4uP2ZDhKIkhye5trs/lCRVdW6SY5PcqVB003lvXGJrt9rvKU+cpQ4AADCfjTJ97qAk1625v3UaAwAAWKrq7lX3kKp6apIndPd/ne7/YJLDu/uUHfY7OcnJ092vSfLBdZQ9MMk8S5FszPp62Bj1N0IPq66/EXpYdf2N0MOq62+EHlZdXw8bo/5G6GHV9TdCD6uuvxF6WHX9vaWHr+zuzXe000aZPrc1ySFr7h+c5Podd+ruM5KcsScKVtVl3b1lTzzX3bG+HjZG/Y3Qw6rrb4QeVl1/I/Sw6voboYdV19fDxqi/EXpYdf2N0MOq62+EHlZdf7QeNsr0uUuTHFZVD66qL01yfJILVtwTAAAwgA1xpqi7b6mqZyV5c5J9kpzV3VeuuC0AAGAAGyIUJUl3vzHJPMvILeyRaXh34/qJHjZC/WT1Pay6frL6HlZdP1l9D6uun6y+h1XXT/SwEeonq+9h1fWT1few6vrJ6ntYdf1koB42xEILAAAAq7JRrikCAABYCaEIAAAY2oa5pmiZquprkxybxR+E7SyW+76gu69aaWODqarDk3R3X1pVD0tydJKrp+vJVtHPOd19wipqszprVri8vrvfWlXfn+Sbk1yV5Izu/n8rbRAAmN1ef01RVf14kqclOTeLv4eULP4O0vFJzu3ul66qt7lN4fCgJJd09z+uGT+6u/9kybVPS3JMFkH8wiSPSfL2JN+R5M3d/ZIl199xifdK8m1J3pYk3f09y6y/i56+JcnhSd7f3W+ZqeZjklzV3X9fVV+W5PlJHpXkA0l+trtvnqGHZyf5/e6+btm1dlH/1Vl8H94ryWeS3DvJ7yU5MoufiSfO0MNXJ/lPWfx9tluSXJPkNXO8/gDAbY0Qiv4mycN3PPo7HS2+srsPW01nX9TL07v7N5dc49lJnpnF0fBvTHJqd58/bbu8ux+15Prvm+reM8kNSQ5e88b8ku5+xJLrX57FG//fyOJsYSV5TRbhON39jmXWn3p4V3cfPt1+RhZfj99PclSSP5wjoFfVlUkeOS2Df0aSzyY5L4tA8Mju/t4Zerg5yT8l+dssvgav7+5ty667pv4V3f2IqtqU5O+SPKi7P1dVleSvZ/hefHaS707yjiRPTPLeJDdlEZJ+tLvfvsz6cEeq6n7d/clV97FKVXVAd3961X0wn6q6b5KfSHJcks3T8CeTnJ/kpd39mRX29qbuPmaGOvfJ4jU4OMmbuvt312x7ZXf/6JLrPyDJaUk+n+R/JzklyZOzeO96and/fJn1R7im6PNJHrST8QdO2zaCn5mhxjOSPLq7j0vy+CT/q6pOnbbVDPVv6e7Pdfdnk/xtd/99knT3P2eer8OWJO9O8oIkN09vPP+5u98xRyCafMma2ycn+c7u/pksQtEPzNTDPbr7lun2lu5+Tnf/+dTHV83Uw4ey+IH7oiSPTvKBqvqTqjqxqr5ihvr3mA6KfEUWZ4vuO43fM1/8NVqWZyQ5urtfnMWZ0od19wuymE56+gz1U1X3raqXVtXVVfXp6eOqaWzfOXq4g/7eNFOd+1TV/6mq356mUa7d9soZ6j+gql5VVb9WVQdU1U9X1fuq6nVV9cBl15962H+HjwOSvKuq9quq/Weof/Sa2/etqjOr6oqq+t2quv+y6091X1pVB063t1TVh5JcUlUfrar/OEP9y6vqp6YzyCsx/bsvrqrfqapDqurCqrq5qi6tqm+aof69q+qFVXXlVHdbVb2zqn5o2bXXeF0WB6ge390HdPcBWcwouSnJ65ddvKoetYuPR2dxUHkOv5nFe8I3JDm+qt5QVfecth0xQ/3fyuIA9nVJLk7yz0melOTPkvzfZRcf4Zqi5yS5qKquyeJFTpJ/n+QhSZ41VxNVdcWuNiWZ4wf/PtunzHX3R6rq8UnOq6qvzDyh6N+q6l5TKHr09sHpyMzSQ1F3fz7J6VX1+unzJzL/9/89qmq/LA5G1PazI939T1V1y+0/dI95/5ozk39dVVu6+7KqemiSua6l6enr8ZYkb6mqL8liauXTkvxCbj1CtyxnJrk6iz8U/YIkr5/eBB2RxTTbOWxK8rksgthXJEl3f2x6Lebwuiymjj6+u29IvnCE7sQsfvl/57IbqKpdnZ2uzPsG4Jos3gD8cFU9Ocn3d/e/Zr43AH+c5MuzeAPw6izeABybxRuAY2fo4VNJPrrD2EFJLs/irPqyD5b8bJLt07d/McnHsziT+r1Jfj2Lo/bL9qTufv50++eTfN907etDk/xuFgfVlmm/JPsmubiqbsjiDPpru/v6Jddd65VZHKHfN8lfJnlud39nVR05bXvskuu/OouZE09I8p+z+D9xbpKfqqqHdvdPLrl+khza3T+3dmD6+fhzVfXDM9S/NIsZBDt7TzbXwaqv7u4nT7f/oKpekORtVTXXJQb37+5XJElV/eiar8crquqkpVfv7r3+I4s3oUdkcQruKdPtfWbu4RNZ/KL/yh0+Ds3igu9l139bkm/cYWxTknOSfG6G+vfcxfiBSb5hBd8TT8riGpo5a34ki7MkH54+P2Aav3eS987Uw32zeCP2t0kuySIIfSiLH8SPnKmH99zOti+bqYcHZTFtLln8snlKksNnqn1qkiuy+GN0Vyd5+jS+OcmfztTDB3dn2x7u4XPTz6WLd/LxzzP18N4d7r8gyV8kOSDJ5TPUf8+a2x+7vd6W2MP/yCKUfMOasQ/PUXuqdfma2zt+PeZ6Da5Osmm6/c4dtr1v5tfgP2QRQm6Y/i+cPNNrcHvfi7v8mb0H6//1DvcvnT7fI4sFmeZ4Dd6S5HlZvDHfPnb/JD+e5K0z1H9/ksN2se26mV6Dq7KYUbJ27MQkVyb56JzfB0levMO2pf9fHOFMUXpxVPqdK27jj5Lcu7vfu+OGqnr7DPVPyOKC7i/oxTSqE6rq15ddvBdHXnc2/qksjlTOqrv/OIsjtHPWPHQXmz6fxfUkc/Rwc5IfmqapfVUWwXhrd39ijvqT79vVhl5Mp1y6XnMEthfzxM+bo+5U71eq6q1Jvi7JL3X31dP4tiTfOlMbH62q5yU5e/vXfpqq9EO59Yz6sl2V5L919zU7bqiquXq4Z1XdY/odke5+SVVtTfKnWRysWLa1U9jP2WHbPjPUT3f/QlWdm8UZ9OuyOFsw58XG96uq/57F0fH7VFX19A4o803x/7Ukb6yqlyb5k6r65dy6+MptfmcvU3f/WZI/q6pTsjhj+31ZHEBZtn+pqqOyOHDWVXVcd//BNH3wczPU/6eq+pbu/vOq+u4kNyaL929VNcdslmTxWj8/yTumn4edxQHtC7I4e7VsP51df8+fMkP9JPnDJN+e5K3bB7r77Gl2zStmqH9+Vd27u/+xu39q+2BVPSTJB5ddfK9faAGALzZN43x+FtOz7jcNb//l/9LuvmmGHp6SxZG/2/yi2/6GbIYeXpbkLd391h3Gj07yil7yQjxV9cIkL+s1q4FO4w/J4uvwlGXW30k/353F2bJDu/sBM9U8bYehV3b3tmk658t6pj+bME0p/5EkD83iYNF1Sf4gyVl963WYy6p9bncfv8wad6KHRyZ5WRYH6Z6bxWtxYhaL0Tyju/9yyfUfkcVCSA/N4ozJD3f331TV5iRP6+6XL7P+mj6+NotrXt/ZM6/Su6b+SlYJvhM9HNPdS7/ec5WvgVAEwBfUDKth6mHj1q/FiqBf3d3vH/U12Eg9rLr+Ruhhrvq1+lV6V1p/qnNKFtfbr+o1WG19oQiA7arqY9397/Ww2h5WXX8j9LDq+huhh1XX3wg9zFW/Fn865LHd/Y9VdWgW06p/e5ry/J7uXuoqfKuuvxF6WHX9Ia4pAuBWG2A1TD1sgPoboYdV198IPay6/kboYdX1J6tepXfV9TdCDyutLxQBjOf+WSx9u+O1Q5XFcrx6mKeHVdffCD2suv5G6GHV9TdCD6uunyQ3VNU3bl8Qazpb8V1JzkryDQPU3wg9rLS+UAQwnlWvhqmHjVF/I/Sw6voboYdV198IPay6frLiVXo3QP2N0MNK67umCAAAGNpcfwMAAABgQxKKAACAoQlFAADA0IQiAABgaEIRAAAwtP8PvIUqZmi6H3oAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1008x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "train['hour_created'] = train['created'].dt.hour\n",
    "cnt_srs = train['hour_created'].value_counts()\n",
    "\n",
    "plt.figure(figsize=(14,7))\n",
    "sns.barplot(cnt_srs.index, cnt_srs.values, alpha=0.8)\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "看起来一天中比较早的几个小时创建的比较多。可能是那个时候流量不拥挤，更新数据去了"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## display_address"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Display_address that appear less than 2 times:63.22%\n",
      "Display_address that appear less than 10 times:89.6%\n",
      "Display_address that appear less than 50 times:97.73%\n",
      "Display_address that appear less than 100 times:99.26%\n",
      "Display_address that appear less than 500 times:100.0%\n"
     ]
    }
   ],
   "source": [
    "cnt_srs = train.groupby('display_address')['display_address'].count()\n",
    "for i in [2,10,50,100,500]:\n",
    "    print(\"Display_address that appear less than {} times:{}%\".format(i,round((cnt_srs<i).mean()*100,2)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,8))\n",
    "plt.hist(cnt_srs.values, bins=150,log=True,alpha=0.9)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "大部分的展览地址出现次数在给定的数据集中少于100次。没有超过500次的。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## photos照片集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "train['num_photos'] = train['photos'].apply(len)\n",
    "cnt_srs = train['num_photos'].value_counts()\n",
    "\n",
    "plt.figure(figsize=(16,9))\n",
    "sns.barplot(x=cnt_srs.index, y=cnt_srs.values, alpha=0.8)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "由图可知，大多数photos数量集中在3~8张"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/admin/Documents/Anaconda5.2/anaconda3/lib/python3.5/site-packages/pandas/core/indexing.py:189: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  self._setitem_with_indexer(indexer, value)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "### 不同兴趣程度下的照片数量分布\n",
    "train['num_photos'].loc[train['num_photos']>12]=12\n",
    "plt.figure(figsize=(16,9))\n",
    "sns.violinplot(x='num_photos', y='interest_level', data=train, order=['low','medium','high'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "由图可知，照片小于2张的房屋，评价都比较低"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## features公寓特征"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "train['num_features'] = train['features'].apply(len)\n",
    "cnt_srs = train['num_features'].value_counts()\n",
    "\n",
    "plt.figure(figsize=(16,9))\n",
    "sns.barplot(x=cnt_srs.index, y=cnt_srs.values, alpha=0.8)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/admin/Documents/Anaconda5.2/anaconda3/lib/python3.5/site-packages/pandas/core/indexing.py:189: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  self._setitem_with_indexer(indexer, value)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "### 不同兴趣程度下的描述特征数量分布\n",
    "train['num_features'].loc[train['num_features']>12]=12\n",
    "plt.figure(figsize=(16,9))\n",
    "sns.violinplot(y='num_features', x='interest_level', data=train, order=['low','medium','high'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/admin/Documents/Anaconda5.2/anaconda3/lib/python3.5/site-packages/ipykernel_launcher.py:6: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  \n",
      "/Users/admin/Documents/Anaconda5.2/anaconda3/lib/python3.5/site-packages/ipykernel_launcher.py:6: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  \n",
      "/Users/admin/Documents/Anaconda5.2/anaconda3/lib/python3.5/site-packages/ipykernel_launcher.py:6: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  \n",
      "/Users/admin/Documents/Anaconda5.2/anaconda3/lib/python3.5/site-packages/ipykernel_launcher.py:6: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  \n",
      "/Users/admin/Documents/Anaconda5.2/anaconda3/lib/python3.5/site-packages/ipykernel_launcher.py:6: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  \n",
      "/Users/admin/Documents/Anaconda5.2/anaconda3/lib/python3.5/site-packages/ipykernel_launcher.py:6: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  \n",
      "/Users/admin/Documents/Anaconda5.2/anaconda3/lib/python3.5/site-packages/ipykernel_launcher.py:6: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  \n",
      "/Users/admin/Documents/Anaconda5.2/anaconda3/lib/python3.5/site-packages/ipykernel_launcher.py:6: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  \n",
      "/Users/admin/Documents/Anaconda5.2/anaconda3/lib/python3.5/site-packages/ipykernel_launcher.py:6: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  \n",
      "/Users/admin/Documents/Anaconda5.2/anaconda3/lib/python3.5/site-packages/ipykernel_launcher.py:6: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  \n",
      "/Users/admin/Documents/Anaconda5.2/anaconda3/lib/python3.5/site-packages/ipykernel_launcher.py:6: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  \n",
      "/Users/admin/Documents/Anaconda5.2/anaconda3/lib/python3.5/site-packages/ipykernel_launcher.py:6: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  \n",
      "/Users/admin/Documents/Anaconda5.2/anaconda3/lib/python3.5/site-packages/ipykernel_launcher.py:6: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "when features number is  0  The ratio of low_interest 0.6519577377252952\n",
      "when features number is  1  The ratio of low_interest 0.7129032258064516\n",
      "when features number is  2  The ratio of low_interest 0.6986634264884569\n",
      "when features number is  3  The ratio of low_interest 0.7364353566253421\n",
      "when features number is  4  The ratio of low_interest 0.7301703608719545\n",
      "when features number is  5  The ratio of low_interest 0.726413019573345\n",
      "when features number is  6  The ratio of low_interest 0.6915254237288135\n",
      "when features number is  7  The ratio of low_interest 0.6914641375222288\n",
      "when features number is  8  The ratio of low_interest 0.6683098591549296\n",
      "when features number is  9  The ratio of low_interest 0.6840603342845495\n",
      "when features number is  10  The ratio of low_interest 0.6657645466847091\n",
      "when features number is  11  The ratio of low_interest 0.644854253420583\n",
      "when features number is  12  The ratio of low_interest 0.627034677990092\n"
     ]
    }
   ],
   "source": [
    "#计算低评价的比例\n",
    "for i in range(0,13,1):\n",
    "    totalColumns =train[train.num_features==i].iloc[:,0].size\n",
    "#     print(totalColumns)\n",
    "    #低评价率=低兴趣评价/总的评价\n",
    "    print('when features number is ',i,' The ratio of low_interest',train[train.num_features==i][train.interest_level=='low'].iloc[:,0].size/totalColumns)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "low_interest在0.6到0.7之间, features和low_interest似乎没有太大的关系"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from wordcloud import WordCloud\n",
    "text = ''\n",
    "text_da = ''\n",
    "for index, row in train.iterrows():\n",
    "    for feature in row['features']:\n",
    "        text = ' '.join([text,\"_\".join(feature.strip().split(\" \"))])\n",
    "        text_da = \" \".join([text_da,\"_\".join(row['display_address'].strip().split(\" \"))])\n",
    "        \n",
    "text = text.strip()\n",
    "text_da = text_da.strip()\n",
    "\n",
    "### 描述特征的词云\n",
    "plt.figure(figsize=(16,9))\n",
    "wordcloud = WordCloud(background_color='white', width=600, height=300, max_font_size=50, max_words=40).generate(text)\n",
    "wordcloud.recolor(random_state=0)\n",
    "plt.imshow(wordcloud)\n",
    "plt.title(\"Wordcloud for features\",fontsize=30)\n",
    "plt.axis(\"off\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "### 展示地址的词云图：\n",
    "plt.figure(figsize=(16,9))\n",
    "wordcloud = WordCloud(background_color='white', width=600, height=300, max_font_size=50, max_words=40).generate(text_da)\n",
    "wordcloud.recolor(random_state=0)\n",
    "plt.imshow(wordcloud)\n",
    "plt.title(\"Wordcloud for Display Address\", fontsize=30)\n",
    "plt.axis(\"off\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## id型特征 listing_id、manager_id、building_id"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>building_id</th>\n",
       "      <th>created</th>\n",
       "      <th>description</th>\n",
       "      <th>display_address</th>\n",
       "      <th>features</th>\n",
       "      <th>interest_level</th>\n",
       "      <th>latitude</th>\n",
       "      <th>listing_id</th>\n",
       "      <th>longitude</th>\n",
       "      <th>manager_id</th>\n",
       "      <th>photos</th>\n",
       "      <th>price</th>\n",
       "      <th>street_address</th>\n",
       "      <th>date_created</th>\n",
       "      <th>hour_created</th>\n",
       "      <th>num_photos</th>\n",
       "      <th>num_features</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1.5</td>\n",
       "      <td>3</td>\n",
       "      <td>53a5b119ba8f7b61d4e010512e0dfc85</td>\n",
       "      <td>2016-06-24 07:54:24</td>\n",
       "      <td>A Brand New 3 Bedroom 1.5 bath ApartmentEnjoy ...</td>\n",
       "      <td>Metropolitan Avenue</td>\n",
       "      <td>[]</td>\n",
       "      <td>medium</td>\n",
       "      <td>40.7145</td>\n",
       "      <td>7211212</td>\n",
       "      <td>-73.9425</td>\n",
       "      <td>5ba989232d0489da1b5f2c45f6688adc</td>\n",
       "      <td>[https://photos.renthop.com/2/7211212_1ed4542e...</td>\n",
       "      <td>3000.0</td>\n",
       "      <td>792 Metropolitan Avenue</td>\n",
       "      <td>2016-06-24</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2418</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>53a5b119ba8f7b61d4e010512e0dfc85</td>\n",
       "      <td>2016-06-14 15:32:30</td>\n",
       "      <td>Enjoy These Following Apartment Features As Yo...</td>\n",
       "      <td>Metropolitan Avenue</td>\n",
       "      <td>[]</td>\n",
       "      <td>low</td>\n",
       "      <td>40.7145</td>\n",
       "      <td>7159209</td>\n",
       "      <td>-73.9425</td>\n",
       "      <td>5ba989232d0489da1b5f2c45f6688adc</td>\n",
       "      <td>[https://photos.renthop.com/2/7159209_a7cf2b89...</td>\n",
       "      <td>2500.0</td>\n",
       "      <td>792 Metropolitan Avenue</td>\n",
       "      <td>2016-06-14</td>\n",
       "      <td>15</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37142</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>53a5b119ba8f7b61d4e010512e0dfc85</td>\n",
       "      <td>2016-06-24 05:46:50</td>\n",
       "      <td>Enjoy These Following Apartment Features As Yo...</td>\n",
       "      <td>Metropolitan Avenue</td>\n",
       "      <td>[]</td>\n",
       "      <td>low</td>\n",
       "      <td>40.7145</td>\n",
       "      <td>7209396</td>\n",
       "      <td>-73.9425</td>\n",
       "      <td>5ba989232d0489da1b5f2c45f6688adc</td>\n",
       "      <td>[https://photos.renthop.com/2/7209396_5eb9b0e9...</td>\n",
       "      <td>2500.0</td>\n",
       "      <td>792 Metropolitan Avenue</td>\n",
       "      <td>2016-06-24</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       bathrooms  bedrooms                       building_id  \\\n",
       "10           1.5         3  53a5b119ba8f7b61d4e010512e0dfc85   \n",
       "2418         1.0         1  53a5b119ba8f7b61d4e010512e0dfc85   \n",
       "37142        1.0         1  53a5b119ba8f7b61d4e010512e0dfc85   \n",
       "\n",
       "                  created                                        description  \\\n",
       "10    2016-06-24 07:54:24  A Brand New 3 Bedroom 1.5 bath ApartmentEnjoy ...   \n",
       "2418  2016-06-14 15:32:30  Enjoy These Following Apartment Features As Yo...   \n",
       "37142 2016-06-24 05:46:50  Enjoy These Following Apartment Features As Yo...   \n",
       "\n",
       "           display_address features interest_level  latitude  listing_id  \\\n",
       "10     Metropolitan Avenue       []         medium   40.7145     7211212   \n",
       "2418   Metropolitan Avenue       []            low   40.7145     7159209   \n",
       "37142  Metropolitan Avenue       []            low   40.7145     7209396   \n",
       "\n",
       "       longitude                        manager_id  \\\n",
       "10      -73.9425  5ba989232d0489da1b5f2c45f6688adc   \n",
       "2418    -73.9425  5ba989232d0489da1b5f2c45f6688adc   \n",
       "37142   -73.9425  5ba989232d0489da1b5f2c45f6688adc   \n",
       "\n",
       "                                                  photos   price  \\\n",
       "10     [https://photos.renthop.com/2/7211212_1ed4542e...  3000.0   \n",
       "2418   [https://photos.renthop.com/2/7159209_a7cf2b89...  2500.0   \n",
       "37142  [https://photos.renthop.com/2/7209396_5eb9b0e9...  2500.0   \n",
       "\n",
       "                street_address date_created  hour_created  num_photos  \\\n",
       "10     792 Metropolitan Avenue   2016-06-24             7           5   \n",
       "2418   792 Metropolitan Avenue   2016-06-14            15           5   \n",
       "37142  792 Metropolitan Avenue   2016-06-24             5           5   \n",
       "\n",
       "       num_features  \n",
       "10                0  \n",
       "2418              0  \n",
       "37142             0  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train[train.building_id == '53a5b119ba8f7b61d4e010512e0dfc85']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "可以看出,building_id与latitude、longitude一样的，都说明这些房屋都在一个建筑里面，只是套内情况有所不同\n",
    "\n",
    "类似的情况还包括manager_id、listing_id，这些都作为不需要的特征"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 特征工程\n",
    "\n",
    "电脑性能差，某些特征暂时不做考虑"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['bathrooms',\n",
       " 'bedrooms',\n",
       " 'latitude',\n",
       " 'longitude',\n",
       " 'price',\n",
       " 'num_photos',\n",
       " 'num_features',\n",
       " 'num_description_words',\n",
       " 'created_day',\n",
       " 'created_hour']"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "features_to_use = [\"bathrooms\", \"bedrooms\", \"latitude\", \"longitude\", \"price\"]\n",
    "\n",
    "# 照片数量(num_photos)\n",
    "train['num_photos'] = train['photos'].apply(len)\n",
    "test['num_photos'] = test['photos'].apply(len)\n",
    "\n",
    "# 特征数量(num_features)\n",
    "train['num_features'] = train['features'].apply(len)\n",
    "test['num_features'] = test['features'].apply(len)\n",
    "\n",
    "# 描述词汇数量\n",
    "train['num_description_words'] = train['description'].apply(lambda x: len(x.split(\" \")))\n",
    "test['num_description_words'] = test['description'].apply(lambda x: len(x.split(\" \")))\n",
    "\n",
    "#把创建的时间分解为多个特征 \n",
    "train['created'] = pd.to_datetime(train['created'])\n",
    "test['created'] = pd.to_datetime(test['created'])\n",
    "\n",
    "#让我们从时间中分解出一些特征，比如年，月，日，时\n",
    "# #年\n",
    "# train['created_year'] = train['created'].dt.year\n",
    "# test['created_year'] = test['created'].dt.year\n",
    "#月\n",
    "# train['created_month'] = train['created'].dt.month\n",
    "# test['created_month'] = test['created'].dt.month\n",
    "#日\n",
    "train['created_day'] = train['created'].dt.day\n",
    "test['created_day'] = test['created'].dt.day\n",
    "#时\n",
    "train['created_hour'] = train['created'].dt.hour\n",
    "test['created_hour'] = test['created'].dt.hour\n",
    "\n",
    "#把这些特征都放到所需特征列表中（上面已经创建，并加入了数值型特征） \n",
    "features_to_use.extend([\"num_photos\", \"num_features\", \"num_description_words\", \n",
    "                        \"created_day\", \"created_hour\"])\n",
    "features_to_use"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['bathrooms',\n",
       " 'bedrooms',\n",
       " 'latitude',\n",
       " 'longitude',\n",
       " 'price',\n",
       " 'num_photos',\n",
       " 'num_features',\n",
       " 'num_description_words',\n",
       " 'created_day',\n",
       " 'created_hour',\n",
       " 'display_address',\n",
       " 'street_address']"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn import model_selection, preprocessing, ensemble\n",
    "\n",
    "#暂时不考虑manager_id、building_id\n",
    "\n",
    "categorical = [\"display_address\", \"street_address\"]\n",
    "for f in categorical:\n",
    "    if train[f].dtype == 'object':\n",
    "        lbl = preprocessing.LabelEncoder()\n",
    "        lbl.fit(list(train[f].values) + list(test[f].values))\n",
    "        train[f] = lbl.transform(list(train[f].values))\n",
    "        test[f] = lbl.transform(list(test[f].values))\n",
    "        features_to_use.append(f)\n",
    "features_to_use"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>price</th>\n",
       "      <th>num_photos</th>\n",
       "      <th>num_features</th>\n",
       "      <th>num_description_words</th>\n",
       "      <th>created_day</th>\n",
       "      <th>created_hour</th>\n",
       "      <th>display_address</th>\n",
       "      <th>street_address</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1.5</td>\n",
       "      <td>3</td>\n",
       "      <td>40.7145</td>\n",
       "      <td>-73.9425</td>\n",
       "      <td>3000.0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>95</td>\n",
       "      <td>24</td>\n",
       "      <td>7</td>\n",
       "      <td>12282</td>\n",
       "      <td>23484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10000</th>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>40.7947</td>\n",
       "      <td>-73.9667</td>\n",
       "      <td>5465.0</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>9080</td>\n",
       "      <td>23680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100004</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>40.7388</td>\n",
       "      <td>-74.0018</td>\n",
       "      <td>2850.0</td>\n",
       "      <td>8</td>\n",
       "      <td>4</td>\n",
       "      <td>94</td>\n",
       "      <td>17</td>\n",
       "      <td>3</td>\n",
       "      <td>13719</td>\n",
       "      <td>9827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100007</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>40.7539</td>\n",
       "      <td>-73.9677</td>\n",
       "      <td>3275.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>80</td>\n",
       "      <td>18</td>\n",
       "      <td>2</td>\n",
       "      <td>10866</td>\n",
       "      <td>14237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100013</th>\n",
       "      <td>1.0</td>\n",
       "      <td>4</td>\n",
       "      <td>40.8241</td>\n",
       "      <td>-73.9493</td>\n",
       "      <td>3350.0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>68</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>15072</td>\n",
       "      <td>19227</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        bathrooms  bedrooms  latitude  longitude   price  num_photos  \\\n",
       "10            1.5         3   40.7145   -73.9425  3000.0           5   \n",
       "10000         1.0         2   40.7947   -73.9667  5465.0          11   \n",
       "100004        1.0         1   40.7388   -74.0018  2850.0           8   \n",
       "100007        1.0         1   40.7539   -73.9677  3275.0           3   \n",
       "100013        1.0         4   40.8241   -73.9493  3350.0           3   \n",
       "\n",
       "        num_features  num_description_words  created_day  created_hour  \\\n",
       "10                 0                     95           24             7   \n",
       "10000              5                      9           12            12   \n",
       "100004             4                     94           17             3   \n",
       "100007             2                     80           18             2   \n",
       "100013             1                     68           28             1   \n",
       "\n",
       "        display_address  street_address  \n",
       "10                12282           23484  \n",
       "10000              9080           23680  \n",
       "100004            13719            9827  \n",
       "100007            10866           14237  \n",
       "100013            15072           19227  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train[features_to_use].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_X = train[features_to_use]\n",
    "test_X = test[features_to_use]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 然后CountVectorizer类来计算TF-IDF权重"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "# train[\"features\"] = train[\"features\"].apply(lambda x:\" \".join([\"_\".join(i.split(\" \"))for i in x]))\n",
    "# print(train['features'].head())\n",
    "# test['features'] = test[\"features\"].apply(lambda x: \" \".join([\"_\".join(i.split(\" \"))for i in x]))\n",
    "# print(test['features'].head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "# from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer\n",
    "\n",
    "# tfidf = CountVectorizer(stop_words =\"english\", max_features=200)\n",
    "# tr_sparse = tfidf.fit_transform(train[\"features\"])\n",
    "# te_sparse = tfidf.transform(test[\"features\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "#对数据集进行特征变换时，必须同时对训练集和测试集进行操作\n",
    "# from scipy import sparse\n",
    "\n",
    "# train_X = sparse.hstack([train[features_to_use],tr_sparse]).tocsr()\n",
    "# test_X = sparse.hstack([test[features_to_use],te_sparse]).tocsr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(49352, 12)\n",
      "(74659, 12)\n"
     ]
    }
   ],
   "source": [
    "### 把目标变量转换为0、1、2\n",
    "target_num_map = {'high':0 , 'medium':1 , 'low':2}\n",
    "train_y = np.array(train['interest_level'].apply(lambda x: target_num_map[x]))\n",
    "print(train_X.shape)\n",
    "print(test_X.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 将数据分割训练数据与测试数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "# 随机采样20%的数据构建测试样本，其余作为训练样本\n",
    "X_train, X_test, y_train, y_test = train_test_split(train_X, train_y, random_state=33, test_size=0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 数据标准化\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "# 初始化特征的标准化器\n",
    "ss_X = StandardScaler()\n",
    "\n",
    "# 分别对训练和测试数据的特征进行标准化处理\n",
    "X_train = ss_X.fit_transform(X_train)\n",
    "X_test = ss_X.transform(X_test)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 模型选择\n",
    "## logistic回归"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The accuracy of the Logistic Regression is 0.6999290851990679\n"
     ]
    }
   ],
   "source": [
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn import metrics\n",
    "\n",
    "#在C等于1情况下的L1正则(交叉验证的最佳超参数)\n",
    "model = LogisticRegression(C=1,solver='liblinear', penalty='l2',multi_class='ovr')\n",
    "model.fit(X_train,y_train)\n",
    "prediction=model.predict(X_test)\n",
    "print('The accuracy of the Logistic Regression is',metrics.accuracy_score(prediction,y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LogisticRegression(C=1, class_weight=None, dual=False, fit_intercept=True,\n",
      "          intercept_scaling=1, max_iter=100, multi_class='ovr', n_jobs=1,\n",
      "          penalty='l2', random_state=None, solver='liblinear', tol=0.0001,\n",
      "          verbose=0, warm_start=False)\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       0.64      0.01      0.02       779\n",
      "          1       0.37      0.11      0.17      2178\n",
      "          2       0.72      0.96      0.83      6914\n",
      "\n",
      "avg / total       0.64      0.70      0.62      9871\n",
      "\n",
      "confusion_matrix:  [[   9  155  615]\n",
      " [   4  245 1929]\n",
      " [   1  258 6655]]\n"
     ]
    }
   ],
   "source": [
    "print(model)\n",
    "print(metrics.classification_report(y_test, prediction))\n",
    "print(\"confusion_matrix: \", metrics.confusion_matrix(y_test, prediction))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "通过混淆矩阵可以看出：\n",
    "\n",
    "1. 大部分样本被分到了low类，原因可能是因为low类的样本占了大多数\n",
    "2. medium类和high类的准确性非常低，这两类的样本比较少"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### logistic回归参数调优"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "def fit_grid_point_Linear(C, X_train, y_train, X_test, y_test, penalty):\n",
    "    \n",
    "    model =  LogisticRegression( C = C,solver='liblinear',penalty=penalty,multi_class='ovr')\n",
    "    model = model.fit(X_train, y_train)\n",
    "    \n",
    "    prediction=model.predict(X_test)\n",
    "    accuracy=metrics.accuracy_score(prediction,y_test)\n",
    "    print(\"accuracy: {} C: {}\".format(accuracy,C))\n",
    "    return accuracy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### L1正则"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "accuracy: 0.7006382332083883 C: 0.001\n",
      "accuracy: 0.7012460743592341 C: 0.01\n",
      "accuracy: 0.6998277783405936 C: 0.1\n",
      "accuracy: 0.6999290851990679 C: 1.0\n",
      "accuracy: 0.6999290851990679 C: 10.0\n",
      "accuracy: 0.6999290851990679 C: 100.0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No handles with labels found to put in legend.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "accuracy: 0.6999290851990679 C: 1000.0\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#需要调优的参数\n",
    "C_s = np.logspace(-3, 3, 7)\n",
    "penalty_s = 'l1'\n",
    "\n",
    "accuracy_s = []\n",
    "for i, oneC in enumerate(C_s):\n",
    "    tmp = fit_grid_point_Linear(oneC, X_train, y_train, X_test, y_test,penalty_s)\n",
    "    accuracy_s.append(tmp)\n",
    "\n",
    "x_axis = np.log10(C_s)\n",
    "plt.plot(x_axis, np.array(accuracy_s), 'b-')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "在L1正则情况下，最佳参数C等于0.01，有最大精度 0.7012460743592341"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### L2正则"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "accuracy: 0.6984094823219532 C: 1e-05\n",
      "accuracy: 0.6992199371897477 C: 0.0001\n",
      "accuracy: 0.6992199371897477 C: 0.001\n",
      "accuracy: 0.7013473812177085 C: 0.01\n",
      "accuracy: 0.6998277783405936 C: 0.1\n",
      "accuracy: 0.6999290851990679 C: 1.0\n",
      "accuracy: 0.6999290851990679 C: 10.0\n",
      "accuracy: 0.6999290851990679 C: 100.0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No handles with labels found to put in legend.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "accuracy: 0.6999290851990679 C: 1000.0\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#需要调优的参数\n",
    "C_s = np.logspace(-5, 3, 9)\n",
    "penalty_s = 'l2'\n",
    "\n",
    "accuracy_s = []\n",
    "for i, oneC in enumerate(C_s):\n",
    "    tmp = fit_grid_point_Linear(oneC, X_train, y_train, X_test, y_test,penalty_s)\n",
    "    accuracy_s.append(tmp)\n",
    "\n",
    "x_axis = np.log10(C_s)\n",
    "plt.plot(x_axis, np.array(accuracy_s), 'b-') \n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "在L2正则情况下，最佳参数C等于0.01，有最大精度 0.7013473812177085"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## SVM分类"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "accuracy_score:  0.7013473812177085\n"
     ]
    }
   ],
   "source": [
    "from sklearn.svm import LinearSVC\n",
    "\n",
    "SVC1 = LinearSVC().fit(X_train, y_train)\n",
    "y_predict = SVC1.predict(X_test)\n",
    "\n",
    "print('accuracy_score: ', metrics.accuracy_score(y_predict,y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LinearSVC(C=1.0, class_weight=None, dual=True, fit_intercept=True,\n",
      "     intercept_scaling=1, loss='squared_hinge', max_iter=1000,\n",
      "     multi_class='ovr', penalty='l2', random_state=None, tol=0.0001,\n",
      "     verbose=0)\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       0.00      0.00      0.00       779\n",
      "          1       0.38      0.08      0.13      2178\n",
      "          2       0.72      0.98      0.83      6914\n",
      "\n",
      "avg / total       0.59      0.70      0.61      9871\n",
      "\n",
      "confusion_matrix:  [[   0  110  669]\n",
      " [   0  164 2014]\n",
      " [   0  155 6759]]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/admin/Documents/Anaconda5.2/anaconda3/lib/python3.5/site-packages/sklearn/metrics/classification.py:1135: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n",
      "  'precision', 'predicted', average, warn_for)\n"
     ]
    }
   ],
   "source": [
    "print(SVC1)\n",
    "print(metrics.classification_report(y_test, y_predict))\n",
    "print(\"confusion_matrix: \", metrics.confusion_matrix(y_test, y_predict))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 带RBF核的SVC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "accuracy_score:  0.709148009320231\n"
     ]
    }
   ],
   "source": [
    "from sklearn.svm import SVC\n",
    "SVC_RBF = SVC( C = 1, kernel='rbf', gamma = 1).fit(X_train, y_train)\n",
    "y_predict_RBF = SVC_RBF.predict(X_test)\n",
    "\n",
    "print('accuracy_score: ', metrics.accuracy_score(y_predict_RBF,y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       0.36      0.03      0.05       779\n",
      "          1       0.44      0.17      0.25      2178\n",
      "          2       0.74      0.95      0.83      6914\n",
      "\n",
      "avg / total       0.64      0.71      0.64      9871\n",
      "\n",
      "confusion_matrix:  [[  22  177  580]\n",
      " [  24  376 1778]\n",
      " [  15  297 6602]]\n"
     ]
    }
   ],
   "source": [
    "print(metrics.classification_report(y_test, y_predict_RBF))\n",
    "print(\"confusion_matrix: \", metrics.confusion_matrix(y_test, y_predict_RBF))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "得到的精度比LinearSVC和logistic回归都要好"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 带RBF核的SVC模型参数调优"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "def fit_grid_point_RBF(C, gamma, X_train, y_train, X_val, y_val):\n",
    "    SVC_RBF_ =  SVC( C = C, kernel='rbf', gamma = gamma)\n",
    "    SVC_RBF_ = SVC_RBF_.fit(X_train, y_train)\n",
    "    accuracy = SVC_RBF_.score(X_val, y_val)\n",
    "    print(\"accuracy: {}, C: {}, gamma:{}\".format(accuracy,C,gamma))\n",
    "    return accuracy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "accuracy: 0.7004356194914396, C: 0.01, gamma:0.001\n",
      "accuracy: 0.7004356194914396, C: 0.01, gamma:0.01\n",
      "accuracy: 0.7004356194914396, C: 0.01, gamma:0.1\n",
      "accuracy: 0.7004356194914396, C: 0.01, gamma:1.0\n",
      "accuracy: 0.7004356194914396, C: 0.01, gamma:10.0\n",
      "accuracy: 0.7004356194914396, C: 0.1, gamma:0.001\n",
      "accuracy: 0.7004356194914396, C: 0.1, gamma:0.01\n",
      "accuracy: 0.7008408469253369, C: 0.1, gamma:0.1\n",
      "accuracy: 0.7004356194914396, C: 0.1, gamma:1.0\n",
      "accuracy: 0.7004356194914396, C: 0.1, gamma:10.0\n",
      "accuracy: 0.7004356194914396, C: 1.0, gamma:0.001\n",
      "accuracy: 0.7004356194914396, C: 1.0, gamma:0.01\n",
      "accuracy: 0.7086414750278593, C: 1.0, gamma:0.1\n",
      "accuracy: 0.709148009320231, C: 1.0, gamma:1.0\n",
      "accuracy: 0.7002330057744909, C: 1.0, gamma:10.0\n",
      "accuracy: 0.7004356194914396, C: 10.0, gamma:0.001\n",
      "accuracy: 0.7019552223685543, C: 10.0, gamma:0.01\n",
      "accuracy: 0.7198865363185087, C: 10.0, gamma:0.1\n",
      "accuracy: 0.6804781683719988, C: 10.0, gamma:1.0\n",
      "accuracy: 0.702157836085503, C: 10.0, gamma:10.0\n",
      "accuracy: 0.7004356194914396, C: 100.0, gamma:0.001\n",
      "accuracy: 0.706919258433796, C: 100.0, gamma:0.01\n",
      "accuracy: 0.7073244858676933, C: 100.0, gamma:0.1\n",
      "accuracy: 0.6710566305338872, C: 100.0, gamma:1.0\n",
      "accuracy: 0.7020565292270287, C: 100.0, gamma:10.0\n"
     ]
    }
   ],
   "source": [
    "#需要调优的参数\n",
    "# 跑了两个小时，电脑烫的不要不要的\n",
    "C_s = np.logspace(-2, 2, 5)\n",
    "gamma_s = np.logspace(-3, 1, 5)  \n",
    "\n",
    "accuracy_s = []\n",
    "for i, oneC in enumerate(C_s):\n",
    "    for j, gamma in enumerate(gamma_s):\n",
    "        tmp = fit_grid_point_RBF(oneC, gamma, X_train, y_train, X_test, y_test)\n",
    "        accuracy_s.append(tmp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "accuracy_s1 =np.array(accuracy_s).reshape(len(C_s),len(gamma_s))\n",
    "x_axis = np.log10(C_s)\n",
    "for j, gamma in enumerate(gamma_s):\n",
    "    plt.plot(x_axis, np.array(accuracy_s1[:,j]), label = ' Test - log(gamma)' + str(np.log10(gamma)))\n",
    "\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
